Reference Hub3
Indices1
Handbook of Research on Big Data Clustering and Machine Learning

Handbook of Research on Big Data Clustering and Machine Learning

Copyright: © 2020 |Pages: 478
ISBN13: 9781799801061|ISBN10: 1799801063|EISBN13: 9781799801078
DOI: 10.4018/978-1-7998-0106-1
Cite Book Cite Book

MLA

Garcia Marquez, Fausto Pedro, editor. Handbook of Research on Big Data Clustering and Machine Learning. IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0106-1

APA

Garcia Marquez, F. P. (Ed.). (2020). Handbook of Research on Big Data Clustering and Machine Learning. IGI Global. https://doi.org/10.4018/978-1-7998-0106-1

Chicago

Garcia Marquez, Fausto Pedro, ed. Handbook of Research on Big Data Clustering and Machine Learning. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0106-1

Export Reference

Mendeley
Favorite Full-Book Download

As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary.

The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.

Table of Contents

Reset
Front Materials
Title Page
This content has been removed at the discretion of the publisher and the editors.
Copyright Page
This content has been removed at the discretion of the publisher and the editors.
Advances in Data Mining and Database Management (ADMDM) Book Series
This content has been removed at the discretion of the publisher and the editors.
Preface
This content has been removed at the discretion of the publisher and the editors.
Chapters
Back Materials
Compilation of References
This content has been removed at the discretion of the publisher and the editors.
About the Contributors
This content has been removed at the discretion of the publisher and the editors.
Index
This content has been removed at the discretion of the publisher and the editors.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.