Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments

Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments

David Taniar, Laura Irina Rusu

Copyright: © 2010 |Pages: 448

ISBN13: 9781605667171|ISBN10: 160566717X|EISBN13: 9781605667188|ISBN13 Softcover: 9781616922108

DOI: 10.4018/978-1-60566-717-1

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MLA

Taniar, David, and Laura Irina Rusu, editors. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments. IGI Global, 2010. https://doi.org/10.4018/978-1-60566-717-1

APA

Taniar, D. & Rusu, L. I. (Eds.). (2010). Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments. IGI Global. https://doi.org/10.4018/978-1-60566-717-1

Chicago

Taniar, David, and Laura Irina Rusu, eds. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-717-1

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Organizations rely on data mining and warehousing technologies to store, integrate, query, and analyze essential data.

Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments discusses developments in data mining and warehousing as well as techniques for successful implementation. Contributions investigate theoretical queries along with real-world applications, providing a useful foundation for academicians and practitioners to research new techniques and methodologies.

Table of Contents

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Front Materials

Title Page

Copyright Page

Book Series

Editorial Advisory Board

Preface

Chapters

Chapter 1

A Methodology Supporting the Design and Evaluating the Final Quality of Data Warehouses (pages 1-21)

Pighin Maurizio, Ieronutti Lucio

The design and configuration of a data warehouse can be difficult tasks especially in the case of very large databases and in the presence of redundant information. In particular, the choice of which attributes have to be considered...

Chapter 2

Seismological Data Warehousing and Mining: A Survey (pages 22-37)

Marketos Gerasimos, Theodoridis Yannis, S. Kalogeras Ioannis

Earthquake data composes an ever increasing collection of earth science information for post-processing analysis. Earth scientists, local or national administration officers and so forth, are working with these data collections for...

Chapter 3

Automated Integration of Heterogeneous Data Warehouse Schemas (pages 38-59)

Banek Marko, Vrdoljak Boris, Min Tjoa A, Skocir Zoran

A federated data warehouse is a logical integration of data warehouses applicable when physical integration is impossible due to privacy policy or legal restrictions. In healthcare systems federated data warehouses are a most...

Chapter 4

Algebraic and Graphic Languages for OLAP Manipulations (pages 60-90)

Ravat Franck, Teste Olivier, Tournier Ronan, Zurfluh Gilles

This article deals with multidimensional analyses. Analyzed data are designed according to a conceptual model as a constellation of facts and dimensions, which are composed of multi-hierarchies. This model supports a query algebra...

Chapter 5

Dynamic View Selection for OLAP (pages 91-106)

Lawrence Michael, Rau-Chaplin Andrew

In a data warehousing environment, aggregate views are often materialized in order to speed up aggregate queries of online analytical processing (OLAP). Due to the increasing size of data warehouses, it is often infeasible to...

Chapter 6

RCUBE: Parallel Multi-Dimensional ROLAP Indexing1 (pages 107-120)

Frank Dehne, Todd Eavis, Andrew Rau-Chaplin

This chapter addresses the query performance issue for Relational OLAP (ROLAP) data cubes. The authors present RCUBE, a distributed multi-dimensional ROLAP indexing scheme which is practical to implement, requires only a small...

Chapter 7

Medical Document Clustering Using Ontology-Based Term Similarity Measures (pages 121-132)

Zhang Xiaodan, Jing Liping, Hu Xiaohua, Ng Michael, Xia Jiali, Zhou Xiaohua

Recent research shows that ontology as background knowledge can improve document clustering quality with its concept hierarchy knowledge. Previous studies take term semantic similarity as an important measure to incorporate domain...

Chapter 8

A Graph-Based Biomedical Literature Clustering Approach Utilizing Term's Global and Local Importance Information (pages 133-150)

Zhang Xiaodan, Hu Xiaohua, Xia Jiali, Zhou Xiaohua, Achananuparp Palakorn

In this article, we present a graph-based knowledge representation for biomedical digital library literature clustering. An efficient clustering method is developed to identify the ontology-enriched k-highest density term subgraphs...

Chapter 9

An Integrated Framework for Fuzzy Classification and Analysis of Gene Expression Data (pages 151-177)

Mohammad Khabbaz, Keivan Kianmehr, Mohammad Alshalalfa, Reda Alhajj

This chapter takes advantage of using fuzzy classifier rules to capture the correlations between genes. The main motivation to conduct this study is that a fuzzy classifier rule is essentially an “if-then” rule that contains...

Chapter 10

Vertical Fragmentation in Databases Using Data-Mining Technique (pages 178-197)

Gorla Narasimhaiah, Wing Yan Betty Pang

A new approach to vertical fragmentation in relational databases is proposed using association rules, a data-mining technique. Vertical fragmentation can enhance the performance of database systems by reducing the number of disk...

Chapter 11

Introducing the Elasticity of Spatial Data (pages 198-215)

A. Gadish David

The data quality of a vector spatial data can be assessed using the data contained within one or more data warehouses. Spatial consistency includes topological consistency, or the conformance to topological rules (Hadzilacos &...

Chapter 12

Sequential Patterns Postprocessing for Structural Relation Patterns Mining (pages 216-234)

Lu Jing, Chen Weiru, Adjei Osei, Keech Malcolm

Sequential patterns mining is an important data-mining technique used to identify frequently observed sequential occurrence of items across ordered transactions over time. It has been extensively studied in the literature, and there...

Chapter 13

MILPRIT*: A Constraint-Based Algorithm for Mining Temporal Relational Patterns (pages 235-255)

de Amo Sandra, P. Junior Waldecir, Giacometti Arnaud

In this article, we consider a new kind of temporal pattern where both interval and punctual time representation are considered. These patterns, which we call temporal point-interval patterns, aim at capturing how events taking place...

Chapter 14

Computing Join Aggregates over Private Tables (pages 256-276)

She Rong, Wang Ke, Waichee Fu Ada, Xu Yabo

We propose a privacy-preserving protocol for computing aggregation queries over the join of private tables. In this problem, several parties wish to share aggregated information over the join of their tables, but want to conceal the...

Chapter 15

Overview of PAKDD Competition 2007 (pages 277-284)

Zhang Junping, Li Guo-Zheng

The PAKDD Competition 2007 involved the problem of predicting customers’ propensity to take up a home loan when a collection of data from credit card users are provided. It is rather difficult to address the problem because 1) the...

Chapter 16

A Solution to the Cross-Selling Problem of PAKDD-2007: Ensemble Model of TreeNet and Logistic Regression (pages 285-289)

Wei Mingjun, Chai Lei, Wei Renying, Huo Wang

Our team has won the Grand Champion (Tie) of PAKDD-2007 data mining competition. The data mining task is to score credit card customers of a consumer finance company according to the likelihood that customers take up the home loans...

Chapter 17

Bagging Probit Models for Unbalanced Classification (pages 290-296)

Hualin Wang, Xiaogang Su

This chapter presents an award-winning algorithm for the data mining competition of PAKDD 2007, in which the goal is to help a financial company to predict the likelihood of taking up a home loan for their credit card based...

Chapter 18

The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling Problem (pages 297-306)

Paulo J.L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C.L.V. Cunha, Domingos S.M.P. Monteiro, Rosalvo F. Oliveira Neto

This article presents an efficient solution for the PAKDD-2007 Competition cross-selling problem. The solution is based on a thorough approach which involves the creation of new input variables, efficient data preparation and...

Chapter 19

Using TreeNet to Cross-Sell Home Loans to Credit Card Holders (pages 307-319)

Steinberg Dan, Scott Cardell Nicholas, Ries John, Golovnya Mykhaylo

Today’s credit card issuers are increasingly offering a broad range of products and services with separate lines of business responsible for different product groups. Too often, the separate lines of business operate independently...

Chapter 20

PAKDD-2007: A Near-Linear Model for the Cross-Selling Problem (pages 320-328)

Thierry Van de Merckt, Jean-François Chevalier

This chapter presents VADIS Consulting’s solution for the cross-selling problem of the PAKDD_2007 competition. For this competition, the authors have used their in-house developed tool RANK, which automates a lot of important tasks...

Chapter 21

Selecting Salient Features and Samples Simultaneously to Enhance Cross-Selling Model Performance (pages 329-337)

Dehong Qiu, Ye Wang, Qifeng Zhang

The task of the 2007 PAKDD competition was to help a finance company to build a cross-selling model to score the propensity of a credit card customer to take up a home loan. The present work tries to increase the prediction accuracy...

Chapter 22

Classification of Imbalanced Data with Random Sets and Mean-Variance Filtering (pages 338-354)

Nikulin Vladimir

Imbalanced data represent a significant problem because the corresponding classifier has a tendency to ignore patterns which have smaller representation in the training set. We propose to consider a large number of balanced training...

Chapter 23

Ranking Potential Customers Based on Group-Ensemble (pages 355-365)

Zhang Zhi-Zhuo, Chen Qiong, Ke Shang-Fu, Wu Yi-Jun, Qi Fei

Ranking potential customers has become an effective tool for company decision makers to design marketing strategies. The task of PAKDD competition 2007 is a cross-selling problem between credit card and home loan, which can also be...

Back Materials

Compilation of References

About the Contributors

Index

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