Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Fundamental Concepts and Theories

Chapter 1

Definition of Artificial Neural Network (pages 1-11)

Sara Moein

In living creatures, the brain is the control unit and it can be divided in different anatomic and functional sub-units. An artificial neural network is a computational system for processing information as a response to external...

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Chapter 2

Overview of Computational Intelligence (pages 12-31)

Bo Xing, Wen-Jing Gao

This chapter presents an overview of computational intelligence. The chapter starts with an introduction about the issue of computational intelligence. Then, the related methodologies used in the book are discussed in the next...

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Chapter 3

An Introduction to the Basic Concepts in QSAR-Aided Drug Design (pages 32-78)

Maryam Hamzeh-Mivehroud, Babak Sokouti, Siavoush Dastmalchi

The need for the development of new drugs to combat existing and newly identified conditions is unavoidable. One of the important tools used in the advanced drug development pipeline is computer-aided drug design. Traditionally, to...

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Chapter 4

The Essence of Smart Homes: Application of Intelligent Technologies towards Smarter Urban Future (pages 79-121)

Amirhosein Ghaffarianhoseini, Ali Ghaffarianhoseini, John Tookey, Hossein Omrany, Anthony Fleury, Nicola Naismith, Mahdiar Ghaffarianhoseini

Smart homes have been predominantly pointed as one of the key constituents of intelligent environments. These are residential units substantially integrated with a communicating network of sensors and intelligent systems based on the...

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Chapter 5

On the Mathematical Theories and Cognitive Foundations of Information (pages 122-144)

Yingxu Wang

A recent discovery in computer and software sciences is that information in general is a deterministic abstract quantity rather than a probability-based property of the nature. Information is a general form of abstract objects...

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Development and Design Methodologies

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Chapter 6

Robotic System Design and Development for Medical Treatment, Surgery, and Automated Production Applications (pages 146-185)

Zheng (Jeremy) Li

The development and improvement of robotic system integrate the science and technology of robotic system design, engineering analysis, prototyping, and experiment. This chapter introduces the current research and development of...

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Chapter 7

Robust Fuzzy Digital PID Controller Design: A Contribution for Advanced Studies in Control and Automation (pages 186-216)

Danúbia Soares Pires, Ginalber Luiz de Oliveira Serra

A robust fuzzy digital PID control methodology based on gain and phase margins specifications is proposed. A mathematical formulation based on gain and phase margins specifications, the Takagi-Sugeno fuzzy model of the process to be...

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Chapter 8

Toward an Agent Framework that Assists the Individuals with Mild Memory Impairment (pages 217-227)

Hung-Hsuan Huang, Hiroki Matsushita, Kyoji Kawagoe, Kiyoshi Yasuda

With the increasing average life expectancy of world population, there are more and more dementia patients and the need of assistive technology emerges. According to the literature, the progress of cognitive impairment can be...

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Chapter 9

Design and Implementation of BIOLOID Humanoid Robot (pages 228-244)

Hilberto Ayala, Yujian Fu

Research in humanoid robot design and implementation is quite challenging due to the complexity of the system and multiple objects involved. Stability, gait generation, navigation and object detection and recognition are all key...

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Chapter 10

An Intelligent Process Development Using Fusion of Genetic Algorithm with Fuzzy Logic (pages 245-281)

Kunjal Bharatkumar Mankad

Intelligent System (IS) can be defined as the system that incorporates intelligence into applications being handled by machines. The chapter extensively discusses the role of Genetic Algorithm (GA) in the search and optimization...

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Chapter 11

Enhancing Intrusion Detection Systems Using Intelligent False Alarm Filter: Selecting the Best Machine Learning Algorithm (pages 282-306)

Yuxin Meng, Lam-For Kwok

Intrusion Detection Systems (IDSs) have been widely implemented in various network environments as an essential component for current Information and Communications Technologies (ICT). However, false alarms are a big problem for...

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Chapter 12

An Empirical Evaluation of a Vocal User Interface for Programming by Voice (pages 307-324)

Amber Wagner, Jeff Gray

Although Graphical User Interfaces (GUIs) often improve usability, individuals with physical disabilities may be unable to use a mouse and keyboard to navigate through a GUI-based application. In such situations, a Vocal User...

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Chapter 13

Towards an Improved Ensemble Learning Model of Artificial Neural Networks: Lessons Learned on Using Randomized Numbers of Hidden Neurons (pages 325-356)

Fatai Anifowose, Jane Labadin, Abdulazeez Abdulraheem

Artificial Neural Networks (ANN) have been widely applied in petroleum reservoir characterization. Despite their wide use, they are very unstable in terms of performance. Ensemble machine learning is capable of improving the...

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Chapter 14

Intrusion Detection Using Deep Belief Network and Extreme Learning Machine (pages 357-378)

Zahangir Alom, Venkata Ramesh Bontupalli, Tarek M. Taha

Security threats for computer networks have increased dramatically over the last decade, becoming bolder and more brazen. There is a strong need for effective Intrusion Detection Systems (IDS) that are designed to interpret intrusion...

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Chapter 15

A Dynamic Modeling and Validation Framework for the Market Direction Prediction (pages 379-394)

Xugang Ye, Jingjing Li

There are many research papers talking about building various machine learning models to predict the market index. However, very few attention has been paid to effectively validating or calibrating the prediction results. The focus...

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Chapter 16

A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms (pages 395-405)

Riyaz Sikora, O'la Al-Laymoun

Distributed data mining and ensemble learning are two methods that aim to address the issue of data scaling, which is required to process the large amount of data collected these days. Distributed data mining looks at how data that...

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Chapter 17

Cognitive Learning Methodologies for Brain-Inspired Cognitive Robotics (pages 406-423)

Yingxu Wang

Cognitive robots are brain-inspired robots that are capable of inference, perception, and learning mimicking the cognitive mechanisms of the brain. Cognitive learning theories and methodologies for knowledge and behavior acquisition...

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Chapter 18

A Model for Improving Online Collaborative Learning through Machine Learning (pages 424-440)

E. Muuro Maina, Peter W. Wagacha, Robert O. Oboko

Online collaborative learning provides new opportunities for student collaboration in an online learning environment and at the same time spawns new challenges for teachers supporting group work. With the current Course Management...

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Chapter 19

Personalized Disease Phenotypes from Massive OMICs Data (pages 441-462)

Hans Binder, Lydia Hopp, Kathrin Lembcke, Henry Wirth

Application of new high-throughput technologies in molecular medicine collects massive data for hundreds to thousands of persons in large cohort studies by characterizing the phenotype of each individual on a personalized basis. The...

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Chapter 20

Game AGI beyond Characters (pages 463-484)

Alexander Zook

Artificial General Intelligence has traditionally used games as a testbed to develop domain-agnostic game playing techniques. Yet games are about more than winning. This chapter reviews recent efforts that have broadened the ways...

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Chapter 21

The Heterogeneity Paradigm in Big Data Architectures (pages 485-511)

Todor Ivanov, Sead Izberovic, Nikolaos Korfiatis

This chapter introduces the concept of heterogeneity as a perspective in the architecture of big data systems targeted to both vertical and generic workloads and discusses how this can be linked with the existing Hadoop ecosystem (as...

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Chapter 22

Chinese Text Categorization via Bottom-Up Weighted Word Clustering (pages 512-524)

Yu-Chieh Wu

Most of the researches on text categorization are focus on using bag of words. Some researches provided other methods for classification such as term phrase, Latent Semantic Indexing, and term clustering. Term clustering is an...

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Chapter 23

Shape Control of Robot Swarms with Multilevel-Based Topology Design (pages 525-557)

Xiao Yan, Dong Sun

Significant attentions have been drawn to the cooperative control of robot swarms from researchers all over the world during the past decade. This chapter mainly focuses on the shape control problem of a group of homogeneous mobile...

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Chapter 24

Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques (pages 558-579)

Swaptik Chowdhury, Pratik Goyal, R. Hariharan, Pijush Samui

This article adopts Minimax Probability Machine (MPM) and Extreme Learning Machine (ELM) for prediction of stability status of rock slope. The proposed MPM and ELM models use unit weight (?), cohesions (cA) and (cB), angles of...

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Chapter 25

An Evaluation of C4.5 and Fuzzy C4.5 with Effect of Pruning Methods (pages 580-610)

Tayyeba Naseer, Sohail Asghar

Classification is a supervised learning technique in data mining classify historical data. The decision tree is easy method for inductive inference. The decision tree induction process has three major steps – first complete decision...

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Chapter 26

A Measure Optimized Cost-Sensitive Learning Framework for Imbalanced Data Classification (pages 611-640)

Peng Cao, Osmar R. Zaiane, Dazhe Zhao

Class imbalance is one of the challenging problems for machine-learning in many real-world applications. Many methods have been proposed to address and attempt to solve the problem, including sampling and cost-sensitive learning. The...

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Chapter 27

Methodology for Record Linkage: A Medical Domain Case Study (pages 641-659)

Maria Vargas-Vera

This paper presents a methodology for linking records from several sources each source might contain, missing information. This assumption of missing values has been made, without loss of generality, as the authors has observed that...

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Chapter 28

Imbalanced Classification for Business Analytics (pages 660-670)

Talayeh Razzaghi, Andrea Otero, Petros Xanthopoulos

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Chapter 29

Distributed Algorithms for Recruitment and Coordinated Motion in Swarm Robotic Systems (pages 671-693)

Luneque Silva Jr., Nadia Nedjah

In the last decades, studies on swarm robotics have grown significantly, with different implementation details becoming of interest in research works. Although the first idea in swarm robotics should be the application or the task...

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Chapter 30

On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning (pages 694-716)

Yingxu Wang

A cognitive knowledge base (CKB) is a novel structure of intelligent knowledge base that represents and manipulates knowledge as a dynamic concept network mimicking human knowledge processing. The essence of CKB is the denotational...

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Chapter 31

The Backbone of Key Successful Branding Strategies in the 21st Century: Innovation in Design Technology, Decision Making on Product Quality, and Collaborative Communications (pages 717-758)

Ho Cheong Lee, Ahmad Noraziah, Tutut Herawan

In the 21st century, the awareness of applying recent advanced intelligent technologies to promote a firm's brand image is the key to the success of expanding its business. Such implication demands efforts in strategic planning...

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Chapter 32

Mechatronic Design of Mobile Robots for Stable Obstacle Crossing at Low and High Speeds (pages 759-821)

Jean-Christophe Fauroux, Frédéric Chapelle, Belhassen-Chedli Bouzgarrou, Philippe Vaslin, Mohamed Krid, Marc Davis

This chapter presents recent mechatronics developments to create original terrestrial mobile robots capable of crossing obstacles and maintaining their stability on irregular grounds. Obstacle crossing is both considered at low and...

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Chapter 33

Integrating Systems Modelling and Data Science: The Joint Future of Simulation and ‘Big Data' Science (pages 822-840)

Erik Pruyt

Although System Dynamics modelling is sometimes referred to as data-poor modelling, it often is –or could be– applied in a data-rich manner. However, more can be done in the era of ‘big data'. Big data refers here to situations...

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Chapter 34

Design of a Chaotic Random Bit Generator Using a Duffing - van der Pol System (pages 841-860)

Christos Volos, Ioannis Kyprianidis, Ioannis Stouboulos, Sundarapandian Vaidyanathan

In this paper a chaotic random bit generator, which is based in one of the most well-known non-autonomous chaotic dynamical systems, the Duffing van der Pol, is presented. The basic component of this design approach is the use of the...

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Chapter 35

Balanced Energy Consumption Approach Based on Ant Colony in Wireless Sensor Networks (pages 861-887)

Sahabul Alam, Debashis De

Now a days Wireless Sensor Networks (WSNs) have grown rapidly due to advancement of information technology. Sensor nodes are deployed over the field for collecting useful information. Sensor nodes have limited battery power and...

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Tools and Technologies

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Chapter 36

On Cognitive Foundations and Mathematical Theories of Knowledge Science (pages 889-914)

Yingxu Wang

Knowledge is one of the fundamental cognitive objects in the brain among those of data, information, and intelligence. Knowledge can be classified into two main categories, i.e., conceptual knowledge for knowing to-be and behavioral...

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Chapter 37

Creep Rupture Forecasting: A Machine Learning Approach to Useful Life Estimation (pages 915-940)

Stylianos Chatzidakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas

Creep rupture is becoming increasingly one of the most important problems affecting behavior and performance of power production systems operating in high temperature environments and potentially under irradiation as is the case of...

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Chapter 38

Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition (pages 941-953)

Imen Trabelsi, Med Salim Bouhlel

Speech emotion recognition is the indispensable requirement for efficient human machine interaction. Most modern automatic speech emotion recognition systems use Gaussian mixture models (GMM) and Support Vector Machines (SVM). GMM...

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Chapter 39

Predictive Network Defense: Using Machine Learning Algorithms to Protect an Intranet from Cyberattack (pages 954-999)

Misha Voloshin

Maintaining electronic devices in today's networked world is not for the faint of heart. The modern network administrator is tasked not only with keeping machines running but also with standing a constant and unerring vigil...

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Chapter 40

Advances in Algorithms for Re-Sampling Class-Imbalanced Educational Data Sets (pages 1000-1030)

William Rivera, Amit Goel, J Peter Kincaid

Real world data sets often contain disproportionate sample sizes of observed groups making it difficult for predictive analytics algorithms. One of the many ways to combat inherent bias from class imbalance data is to perform...

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Chapter 41

Enhancing Active Learning Pedagogy through Online Collaborative Learning (pages 1031-1054)

E. Muuro Maina, Peter W. Wagacha, Robert O. Oboko

Learner-centered learning theories such as active learning and collaborative learning are highly supported by Web 2.0 technologies and they are augmenting traditional teacher-centered approaches. New teaching pedagogies such as...

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Chapter 42

ANN Based Expert System to Predict Disease in Cardiac Patients at Initial Stages (pages 1055-1064)

Umer Rashid

Objective of this research is to develop an expert system for the preliminary investigation of cardiac abnormality in human beings. Artificial Neural Network (ANN) is judged best for the prediction of heart abnormalities in cardiac...

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Chapter 43

Simulation of Temperature and Precipitation under the Climate Change Scenarios: Integration of a GCM and Machine Learning Approaches (pages 1065-1091)

Umut Okkan, Gul Inan

This study aims to discuss the potentials of machine learning methods such as artificial neural network (ANN), least squares support vector machine (LSSVM), and relevance vector machine (RVM) in downscaling of simulations of a...

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Chapter 44

Opportunistic Model for Multi-Robot Coordination (pages 1092-1140)

Soheil Keshmiri, Shahram Payandeh

This Chapter contributes to the understanding of intentional cooperation in multi-robot systems. It is shown that in a complex multi-robot system comprising several individual agents, each of which capable of interacting with their...

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Chapter 45

Risk Prediction Model for Osteoporosis Disease Based on a Reduced Set of Factors (pages 1141-1166)

Walid Moudani, Ahmad Shahin, Fadi Chakik, Dima Rajab

The health industry collects huge amounts of health data, which, unfortunately, are not mined to discover hidden information. Information technologies can provide alternative approaches to the diagnosis of the osteoporosis disease....

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Chapter 46

Application of Meta-Models (MPMR and ELM) for Determining OMC, MDD and Soaked CBR Value of Soil (pages 1167-1195)

Vishal Shreyans Shah, Henyl Rakesh Shah, Pijush Samui

This chapter examines the capability of Minimax Probability Machine Regression (MPMR) and Extreme Learning Machine (ELM) for prediction of Optimum Moisture Content (OMC), Maximum Dry Density (MDD) and Soaked California Bearing Ratio...

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Chapter 47

Authorship Analysis: Techniques and Challenges (pages 1196-1217)

Athira U., Sabu M. Thampi

Authorship Analysis is the process of examining documents to determine the stylistic details underlying the document and hence inferring about the characteristics of the author of document in order to attribute the authorship to a...

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Chapter 48

The MobiFall Dataset: Fall Detection and Classification with a Smartphone (pages 1218-1231)

George Vavoulas, Matthew Pediaditis, Charikleia Chatzaki, Emmanouil G. Spanakis, Manolis Tsiknakis

Fall detection is receiving significant attention in the field of preventive medicine, wellness management and assisted living, especially for the elderly. As a result, several fall detection systems are reported in the research...

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Chapter 49

A Novel Application Offloading Algorithm and an Optimized Application Servers Placement for Mobile Cloud Computing (pages 1232-1252)

Amal Ellouze, Maurice Gagnaire

An application's offloading algorithm to over go the limitations of mobile terminals, namely their lack of computing capacity and limited battery autonomy is introduced. The proposed Mobile Application's Offloading algorithm...

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Chapter 50

Value Based Decision Control for Complex Systems (pages 1253-1268)

Yuri Pavlov

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Chapter 51

A Review of Interventions with Assistive Technologies for Patients with Cognitive Impairment (pages 1269-1281)

Panagiotis Georgakopoulos, Maria Chatzidimitriou, Magda Tsolaki

Advances in technology in the last decade have created a diverse field of applications for the care of persons with cognitive impairment. This chapter is an attempt to review these advances in a systematic way, and focuses on...

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Chapter 52

Plant Classification for Field Robots: A Machine Vision Approach (pages 1282-1306)

Sebastian Haug, Jörn Ostermann

Small size agricultural robots which are capable of sensing and manipulating the field environment are a promising approach towards more ecological, sustainable and human-friendly agriculture. This chapter proposes a machine vision...

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Chapter 53

Natural Language Processing: An Inevitable Step in Requirements Engineering (pages 1307-1323)

A. Egemen Yilmaz

Requirement analysis is the very first and crucial step in the software development processes. On the other hand, as previously addressed by other researchers, it is the Achilles' heel of the whole process since the requirements...

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Chapter 54

Stochastic Programming and Value Based Decisions (pages 1324-1338)

Yuri Pavlov, Rumen Andreev

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Chapter 55

Cultivating Chan with Calibration (pages 1339-1360)

Yuezhe Li, Yuchou Chang, Hong Lin

Chan is a superior mental training methodology derived from Buddhism and absorbed the wisdom of religious practitioners, philosophers, and scholars around Eastern Asia through thousands of years. As the primary way of Chan...

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Chapter 56

Semantic Interation, Text Mining, Tools and Technologies (pages 1361-1378)

Chandrakant Ekkirala

Semantic technologies have gained prominence over the last several years. Semantic technologies are explored in detail and semantic integration of data will be outlined. The various data integration techniques and approaches will...

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Chapter 57

Stabilization and Control of Mechanical Systems with Backlash (pages 1379-1439)

Ahmad Taher Azar, Fernando E. Serrano

Backlash is one of several discontinuities found in different kinds of systems; it can be found in actuators of different types, such as mechanical and hydraulic, giving way to unwanted effects in the system behavior. In this...

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Chapter 58

Face Recognition Methods for Uncontrolled Settings (pages 1440-1471)

Harry Wechsler

The overall coverage of the chapter is about moving face recognition out of the comfort zone and dramatically improving the current performance of existing biometric tools by fusing the rich spatial, temporal, and contextual...

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Utilization and Application

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Chapter 59

Machine Learning Techniques to Predict Software Defect (pages 1473-1487)

Ramakanta Mohanty, Vadlamani Ravi

The past 10 years have seen the prediction of software defects proposed by many researchers using various metrics based on measurable aspects of source code entities (e.g. methods, classes, files or modules) and the social structure...

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Chapter 60

Novel Nature-Derived Intelligent Algorithms and Their Applications in Antenna Optimization (pages 1488-1521)

Bo Xing

With the rapidly developing of wireless communications, their adoption and utilization is increasing swiftly in various contexts. Among others, the issues relevant to antenna optimization are popularly known as the most important...

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Chapter 61

An Overview of Swarm Robotics for Search and Rescue Applications (pages 1522-1561)

Micael Santos Couceiro

The area of research presented in this chapter focuses on swarm robotics, which is a particular domain of multi-robot systems (MRS) that embodies the mechanisms of swarm intelligence into robotics. More specifically, this chapter...

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Chapter 62

The Application of Meta-Heuristic Algorithms to Improve the Performance of Software Development Effort Estimation Models (pages 1562-1590)

Maryam Hassani Saadi, Vahid Khatibi Bardsiri, Fahimeh Ziaaddini

One of the major activities in effective and efficient production of software projects is the precise estimation of software development effort. Estimation of the effort in primary steps of software development is one of the most...

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Chapter 63

Soft-Computational Techniques and Spectro-Temporal Features for Telephonic Speech Recognition: An Overview and Review of Current State of the Art (pages 1591-1619)

Mridusmita Sharma, Kandarpa Kumar Sarma

Speech is the natural communication means, however, it is not the typical input means afforded by computers. The interaction between humans and machines would have become easier, if speech were an alternative effective input means to...

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Chapter 64

A Review of Existing Applications and Techniques for Narrative Text Analysis in Electronic Medical Records (pages 1620-1635)

Alexandra Pomares-Quimbaya, Rafael A. Gonzalez, Santiago Quintero, Oscar Mauricio Muñoz, Wilson Ricardo Bohórquez, Olga Milena García, Dario Londoño

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Chapter 65

Computational Intelligence in Cryptology (pages 1636-1652)

Wasan Awad, El-Sayed M. El-Alfy

Computational intelligence (CI) has attracted the attention of many researchers for its effectiveness in solving different kinds of problems. It has been applied to solve problems in a wide area of applications. The aim of this...

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Chapter 66

Machine Learning Approaches to Automated Medical Decision Support Systems (pages 1653-1673)

Nuno Pombo, Nuno Garcia, Kouamana Bousson, Virginie Felizardo

This chapter provides an overview of the Machine Learning (ML) concepts in the clinical field which data may be collected, either by Health Care Professionals (HCP) or patients. These data may include activities and medication...

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Chapter 67

Opportunistic Neighbour Prediction Using an Artificial Neural Network (pages 1674-1686)

Fraser Cadger, Kevin Curran, Jose Santos, Sandra Moffet

Device mobility is an issue that affects both MANETs and opportunistic networks. While the former employs conventional routing techniques with some element of mobility management, opportunistic networking protocols often use mobility...

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Chapter 68

Determination of Bearing Capacity of Shallow Foundation Using Soft Computing (pages 1687-1722)

J. Jagan, Swaptik Chowdhury, Pratik Goyal, Pijush Samui, Yıldırım Dalkiliç

The ultimate bearing capacity is an important criterion for the successful implementation of any geotechnical projects. This chapter studies the feasibility of employing Gaussian process regression (GPR), Extreme learning machine...

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Chapter 69

The Annotation of Global Positioning System (GPS) Data with Activity Purposes Using Multiple Machine Learning Algorithms (pages 1723-1739)

Sofie Reumers, Feng Liu, Davy Janssens, Geert Wets

The aim of this chapter is to evaluate whether GPS data can be annotated or semantically enriched with different activity categories, allowing GPS data to be used in the future in simulation systems. The data in the study stems from...

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Chapter 70

Machine Learning Approaches for Sentiment Analysis (pages 1740-1756)

Basant Agarwal, Namita Mittal

Opinion Mining or Sentiment Analysis is the study that analyzes people's opinions or sentiments from the text towards entities such as products and services. It has always been important to know what other people think. With the...

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Chapter 71

Investigation of ANFIS and FFBNN Recognition Methods Performance in Tamil Speech Word Recognition (pages 1757-1769)

S. Rojathai, M. Venkatesulu

In speech word recognition systems, feature extraction and recognition plays a most significant role. More number of feature extraction and recognition methods are available in the existing speech word recognition systems. In most...

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Chapter 72

Exploring Video Sharing Websites Content with Machine Learning (pages 1770-1789)

Nan Zhao, Löic Baud, Patrick Bellot

This article studies the characteristics of content on video sharing websites. A better understanding on online video content can help to analyse Internet users' behaviour and improve the video-sharing service. We improved an...

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Chapter 73

Review of fMRI Data Analysis: A Special Focus on Classification (pages 1790-1817)

Shantipriya Parida, Satchidananda Dehuri

Classification of brain states obtained through functional magnetic resonance imaging (fMRI) poses a serious challenges for neuroimaging community to uncover discriminating patterns of brain state activity that define independent...

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Chapter 74

On Parallel Online Learning for Adaptive Embedded Systems (pages 1818-1839)

Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski

This chapter considers parallel implementation of the online multi-label regularized least-squares machine-learning algorithm for embedded hardware platforms. The authors focus on the following properties required in real-time...

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Chapter 75

Information Extraction in the Medical Domain (pages 1840-1857)

Aicha Ghoulam, Fatiha Barigou, Ghalem Belalem

Information Extraction (IE) is a natural language processing (NLP) task whose aim is to analyse texts written in natural language to extract structured and useful information such as named entities and semantic relations between...

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Chapter 76

Sentiment Classification: Facebook' Statuses Mining in the “Arabic Spring” Era (pages 1858-1883)

Jalel Akaichi

In this work, we focus on the application of text mining and sentiment analysis techniques for analyzing Tunisian users' statuses updates on Facebook. We aim to extract useful information, about their sentiment and behavior...

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Chapter 77

Semantics-Based Document Categorization Employing Semi-Supervised Learning (pages 1884-1912)

Jan Žižka, František Dařena

The automated categorization of unstructured textual documents according to their semantic contents plays important role particularly linked with the ever growing volume of such data originating from the Internet. Having a sufficient...

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Chapter 78

Natural Language Processing as Feature Extraction Method for Building Better Predictive Models (pages 1913-1937)

Goran Klepac, Marko Velić

This chapter covers natural language processing techniques and their application in predicitve models development. Two case studies are presented. First case describes a project where textual descriptions of various situations in...

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Chapter 79

HTML Segmentation for Different Types of Web Pages (pages 1938-1961)

Evelin Carvalho Freire de Amorim

Search engines manage several types of challenges daily. One of those challenges is locating relevant content in a Web page. However, the concept of relevance in information retrieval depends on the problem to be solved. For...

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Chapter 80

Determination of Work Zone Capacity Using ELM, MPMR and GPR (pages 1962-1980)

Sangeeta Roy, J. Jagan, Pijush Samui

This article examines the capability of Extreme Learning Machine (ELM), Minimax Probability Machine Regression (MPMR) and Gaussian Process Regression (GPR) for determination of Work Zone Capacity. Number of lanes, number of open...

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Chapter 81

Revealing Groups of Semantically Close Textual Documents by Clustering: Problems and Possibilities (pages 1981-2020)

František Dařena, Jan Žižka

The chapter introduces clustering as a family of algorithms that can be successfully used to organize text documents into groups without prior knowledge of these groups. The chapter also demonstrates using unsupervised clustering to...

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Chapter 82

Comparison of Tied-Mixture and State-Clustered HMMs with Respect to Recognition Performance and Training Method (pages 2021-2037)

Hiroyuki Segi, Kazuo Onoe, Shoei Sato, Akio Kobayashi, Akio Ando

Tied-mixture HMMs have been proposed as the acoustic model for large-vocabulary continuous speech recognition and have yielded promising results. They share base-distribution and provide more flexibility in choosing the degree of...

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Chapter 83

Prediction of Change-Prone Classes Using Machine Learning and Statistical Techniques (pages 2038-2047)

LinRuchika Malhotra, Ankita Jain Bansal

For software development, availability of resources is limited, thereby necessitating efficient and effective utilization of resources. This can be achieved through prediction of key attributes, which affect software quality such as...

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Chapter 84

Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning (pages 2048-2070)

Ting Wang, Sheng-Uei Guan, Sadasivan Puthusserypady, Prudence W. H. Wong

Feature ordering is a significant data preprocessing method in Incremental Attribute Learning (IAL), a novel machine learning approach which gradually trains features according to a given order. Previous research has shown that...

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Chapter 85

Feature Selection Algorithms for Classification and Clustering in Bioinformatics (pages 2071-2091)

Sujata Dash, Bichitrananda Patra

This chapter discusses some important issues such as pre-processing of gene expression data, curse of dimensionality, feature extraction/selection, and measuring or estimating classifier performance. Although these concepts are...

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Chapter 86

Performance Degradation Detection of Virtual Machines Via Passive Measurement and Machine Learning (pages 2092-2110)

Toshiaki Hayashi, Satoru Ohta

Virtualization is commonly used for efficient operation of servers in datacenters. The autonomic management of virtual machines enhances the advantages of virtualization. Therefore, for the development of such management, it is...

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Chapter 87

Fuzzification of Euclidean Space Approach in Machine Learning Techniques (pages 2111-2127)

Mostafa A. Salama, Aboul Ella Hassanien

Euclidian calculations represent a cornerstone in many machine learning techniques such as the Fuzzy C-Means (FCM) and Support Vector Machine (SVM) techniques. The FCM technique calculates the Euclidian distance between different...

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Chapter 88

Learning with Privileged Information for Improved Target Classification (pages 2128-2145)

Roman Ilin, Simon Streltsov, Rauf Izmailov

This work considers “Learning Using Privileged Information” (LUPI) paradigm. LUPI improves classification accuracy by incorporating additional information available at training time and not available during testing. In this...

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Chapter 89

Forecasting Demand with Support Vector Regression Technique Combined with X13-ARIMA-SEATS Method in the Presence of Calendar Effect (pages 2146-2159)

Malek Sarhani, Abdellatif El Afia

In order to better manage and optimize supply chain, a reliable prediction of future demand is needed. The difficulty of forecasting demand is due mainly to the fact that heterogeneous factors may affect it. Analyzing such kind of...

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Chapter 90

Classification of the Emotional State of a Subject Using Machine Learning Algorithms for RehabRoby (pages 2160-2187)

Duygun Erol Barkana, Engin Masazade

Robot-assisted rehabilitation systems have shown to be helpful in neuromotor rehabilitation because it is possible to deliver interactive and repeatable sensorimotor exercise and monitor the actual performance continuously. Note that...

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Chapter 91

Robotic Transformation and its Business Applications in Food Industry (pages 2188-2211)

Anas Mathath, Yudi Fernando

The role of robots is becoming substantial for industrial applications and business competitiveness. The robot transformation in food industry has increased business productivity, reduced cost and enhanced customer experiences. The...

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Chapter 92

Security in Swarm Robotics (pages 2212-2239)

Thalia May Laing, Siaw-Lynn Ng, Allan Tomlinson, Keith M Martin

Inspired by social animals, such as ants, bees and fish, which appear to exhibit what has been dubbed ‘swarm intelligence', swarm robotic systems aim to accomplish goals that are unachievable by an individual robot. Swarm...

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Chapter 93

A Cognitive Machine-Learning System to Discover Syndromes in Erythemato-Squamous Diseases (pages 2240-2278)

Francesco Gagliardi

A syndrome is a set of typical clinical features that appear together often enough to suggest they may represent a single, as yet unknown, disease. The discovery of syndromes and relative taxonomy formation is the critical early...

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Chapter 94

Magnetic Field Model (MFM) in Soft Computing and Parallelization Techniques for Self Organizing Networks (SON) in Telecommunications (pages 2279-2293)

Premnath K N, Srinivasan R, Elijah Blessing Rajsingh

Self Organizing Networks (SON) requires efficient algorithms and effective real time and faster execution techniques to meet the SON requirements (use cases & desired functionalities) (as cited in Srinivasan R and Premnath K N....

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Chapter 95

Performance Analysis of DE over K-Means Proposed Model of Soft Computing (pages 2294-2307)

Kapil Patidar, Manoj Kumar, Sushil Kumar

In real world data increased periodically, huge amount of data is called Big data. It is a well-known term used to define the exponential growth of data, both in structured and unstructured format. Data analysis is a method of...

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Chapter 96

Underwater Swarm Robotics: Challenges and Opportunities (pages 2308-2332)

Matthew Joordens, Benjamin Champion

Underwater swarm robotics today faces a series of challenges unique to its aquatic environment. This chapter explores some possible applications of underwater swarm robotics and its challenges. Those challenges include the...

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Chapter 97

Stabilization of Mechanical Systems with Backlash by PI Loop Shaping (pages 2333-2360)

Ahmad Taher Azar, Fernando E. Serrano

Backlash is one of several discontinuities found in different kinds of systems, it can be found in actuators of different types, such as mechanical and hydraulic, giving way to unwanted effects in the system behavior. PI loop shaping...

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Chapter 98

Hybrid Approach for Analyzing Acute Spots of Clinical Speech Data Using Fuzzy Inference System (pages 2361-2410)

C. R. Bharathi, V. Shanthi

Acoustical measures of vocal functions are used in the assessments of voice disorders and monitoring the subject's improvement with speech therapy. In this chapter, a hybrid approach is proposed to identify the acute spots in...

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Chapter 99

Towards a Stepwise Variability Management Process for Complex Systems: A Robotics Perspective (pages 2411-2430)

Alex Lotz, Juan F. Inglés-Romero, Dennis Stampfer, Matthias Lutz, Cristina Vicente-Chicote, Christian Schlegel

Complex systems are executed in environments with a huge number of potential situations and contingencies, therefore a mechanism is required to express dynamic variability at design-time that can be efficiently resolved in the...

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Chapter 100

Flexible and Hybrid Action Selection Process for the Control of Highly Dynamic Multi-Robot Systems (pages 2431-2465)

Lounis Adouane

This chapter presents a behavioral mechanism of control in order to break the complexity of multi-robot control systems. Specifically, this chapter proposes a Hierarchical Action Selection Process (HASP) which aims to coordinate a...

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Chapter 101

Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment (pages 2466-2492)

Zhongyang Zheng, Ying Tan

This paper considers the problem of tracking a mobile target in an obstructive environment using a swarm of simple robots with limited sensing and communicating abilities. The target-tracking procedure, which has not been paid...

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Chapter 102

Integration of Different Analytical Concepts on Multimedia Contents in Service of Intelligent Knowledge Extraction (pages 2493-2522)

Goran Klepac

This chapter will introduce methodology how to use analytical potential of multimedia contents like YouTube, Bing Videos or Vimeo for discovering behavioral consumer characteristics. Chapter will also show how to consolidate...

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Chapter 103

Machine Learning for Detecting Scallops in AUV Benthic Images: Targeting False Positives (pages 2523-2541)

Prasanna Kannappan, Herbert G. Tanner, Arthur C. Trembanis, Justin H. Walker

A large volume of image data, in the order of thousands to millions of images, can be generated by robotic marine surveys aimed at assessment of organism populations. Manual processing and annotation of individual images in such...

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Chapter 104

Creating Sound Glyph Database for Video Subtitling (pages 2542-2556)

Chitralekha Ganapati Bhat, Sunil Kumar Kopparapu

Accessibility of speech information in videos is a huge challenge for the hearing impaired, making a visual representation such as text subtitling essential. Unavailability of a good Automatic Speech Recognition (ASR) engine, makes...

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Chapter 105

An Evolutionary Approach for Balancing Effectiveness and Representation Level in Gene Selection (pages 2557-2574)

Nicoletta Dessì, Barbara Pes, Laura Maria Cannas

As data mining develops and expands to new application areas, feature selection also reveals various aspects to be considered. This paper underlines two aspects that seem to categorize the large body of available feature selection...

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Chapter 106

Cyber Physical Control Systems (pages 2575-2599)

P. Venkata Krishna, V. Saritha, H. P. Sultana

The focus of algorithmic design is to solve composite problems. Intelligent systems use intellectual concepts like evolutionary computation, artificial neural networks, fuzzy systems, and swarm intelligence to process natural...

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Organizational and Social Implications

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Chapter 107

Improving Productivity: A Review of Robotic Applications in Food Industry (pages 2601-2622)

Yudi Fernando, Anas Mathath, Mohsen Ali Murshid

The role of robots is becoming substantial for industrial applications and business competitiveness. The purpose of this paper is to review robotic transformation concept and to investigate its business applications in the food...

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Chapter 108

Conflict Resolution in Robotics: An Overview (pages 2623-2638)

Ester Martinez-Martin, Angel P. del Pobil

A long-term goal in Robotics is developing autonomous systems able to assist and support human beings, especially in hazardous and/or repetitive tasks. So, these robotic systems will share their workspace with other robots, people or...

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Chapter 109

Robotic Exoskeletons and Social, Companion, and Service Robots (pages 2639-2655)

Christos Kouroupetroglou

Robotics is an emerging technology presenting great opportunities for the future of eAccessbility and Assistive Technologies. This is why this chapter aims to present the current state of the art in the domain together with the...

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Chapter 110

Supporting Active and Healthy Aging with Advanced Robotics Integrated in Smart Environment (pages 2656-2686)

Raffaele Esposito, Laura Fiorini, Raffaele Limosani, Manuele Bonaccorsi, Alessandro Manzi, Filippo Cavallo, Paolo Dario

The technological advances in the robotic and ICT fields represent an effective solution to address specific societal problems to support ageing and independent life. One of the key factors for these technologies is the integration...

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Chapter 111

Recognizing Physical Activities using Wearable Devices (pages 2687-2710)

Ali Mehmood Khan, Michael Lawo

Physical activity is a major part of the user's context for wearable computing applications. The System should be able to acquire the user's physical activities using body worn sensors. The authors propose developing a...

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Chapter 112

Intelligent Slotting for the Warehouse (pages 2711-2729)

Narayanan Padmanabahan Iyer, Ramesh Jayal

In the current and future Supply Chain landscape, we need to ensure that we keep the warehouse ship sailing amidst the turbulent waters of dynamic business growth and rapid changes in technology. There are several challenges to be...

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Chapter 113

Model-Driven Data Warehouse Automation: A Dependent-Concept Learning Approach (pages 2730-2758)

Moez Essaidi, Aomar Osmani, Céline Rouveirol

Transformation design is a key step in model-driven engineering, and it is a very challenging task, particularly in context of the model-driven data warehouse. Currently, this process is ensured by human experts. The authors propose...

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Chapter 114

Predictive Analytics for Business Processes in Service Management (pages 2759-2796)

Yurdaer N. Doganata, Geetika T. Lakshmanan, Merve Unuvar

Underlying business processes in service management are people intensive and collaborative by nature. We are observing an emerging trend in the service management applications, moving away from rigid process orchestration to...

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Chapter 115

Robotic Teaching Assistance for the “Tower of Hanoi” Problem (pages 2797-2809)

Nguyen Duc Thien, Annalisa Terracina, Luca Iocchi, Massimo Mecella

In this work the authors investigate the effectiveness of robotics in education. Rather than creating excitement for children when playing with robots in games, they are examining the overall learning environment where a robot acts...

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Chapter 116

Approaches to Large-Scale User Opinion Summarization for the Web (pages 2810-2832)

William Darling

This chapter discusses approaches to applying text summarization research to the real-world problem of opinion summarization of user comments. Following a brief overview of the history of research in text summarization, the authors...

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Chapter 117

Fuzzy Causal Patterns of Humor and Jokes for Cognitive and Affective Computing (pages 2833-2846)

Yingxu Wang

Humor is an advanced emotional and cognitive ability of mankind that involves complex semantic inference and deep passionate appreciation. This paper presents the cognitive foundations of amusement and a general theory of humor based...

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Chapter 118

Detecting Linguistic Markers of Violent Extremism in Online Environments (pages 2847-2863)

Fredrik Johansson, Lisa Kaati, Magnus Sahlgren

The ability to disseminate information instantaneously over vast geographical regions makes the Internet a key facilitator in the radicalisation process and preparations for terrorist attacks. This can be both an asset and a...

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Chapter 119

Using High-Frequency Interaction Events to Automatically Classify Cognitive Load (pages 2864-2881)

Tao Lin, Zhiming Wu, Yu Chen

There is still a challenge of creating an evaluation method which can not only unobtrusively collect data without supplement equipment but also objectively, quantitatively and real-time evaluate cognitive load of users based the...

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Chapter 120

Leveraging Human Capital Assets with Cognitive Computing (pages 2882-2900)

Daniel J. Worden

Computer science, data proliferation and cognitive studies are interwoven as complementary (even while potentially disruptive) concerns affecting virtually every other domain and discipline. As these concerns cut across fields, their...

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Chapter 121

Prediction of Temperature in Buildings Using Machine Learning Techniques (pages 2901-2919)

Juan José Carrasco, Juan Caravaca, Mónica Millán-Giraldo, Gonzalo Vergara, José M. Martínez-Martínez, Javier Sanchis, Emilio Soria-Olivas

Energy efficiency is a trend due to ecological and economic benefits. Within this field, energy efficiency in buildings sector constitutes one of the main concerns due to the fact that approximately 40% of total world energy...

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Chapter 122

Cooperative Robots (pages 2920-2973)

Pablo Sánchez-Sánchez, Marco A. Arteaga-Pérez

The interest in developing cooperative systems has increased due to the advantages they offer. Such systems can perform tasks that a single robot would be impossible to achieve. In this chapter, a summary of the cooperative...

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Managerial Impacts

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Chapter 123

Using Machine Learning and Probabilistic Frameworks to Enhance Incident and Problem Management: Automated Ticket Classification and Structuring (pages 2975-3012)

Anca Sailer, Ruchi Mahindru, Yang Song, Xing Wei

Problem determination and resolution (PDR) is at the core of Incident and Problem Management. PDR is the process of detecting an anomaly in a monitored system, identifying the nature of the anomaly in view of routing to the...

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Chapter 124

Customer Lifetime Value Measurement using Machine Learning Techniques (pages 3013-3022)

Tarun Rathi, Vadlamani Ravi

Customer Lifetime Value (CLV) is an important metric in relationship marketing approaches. There have always been traditional techniques like Recency, Frequency and Monetary Value (RFM), Past Customer Value (PCV) and Share-of-Wallet...

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Chapter 125

Intelligent Systems to Support Human Decision Making (pages 3023-3036)

Gloria Phillips-Wren

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Chapter 126

Essentiality of Machine Learning Algorithms for Big Data Computation (pages 3037-3048)

Manjunath Thimmasandra Narayanapppa, T. P. Puneeth Kumar, Ravindra S. Hegadi

Recent technological advancements have led to generation of huge volume of data from distinctive domains (scientific sensors, health care, user-generated data, finical companies and internet and supply chain systems) over the past...

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

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