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Integration of Data Mining in Business Intelligence Systems

Integration of Data Mining in Business Intelligence Systems

Copyright: © 2015 |Pages: 314
ISBN13: 9781466664777|ISBN10: 1466664770|EISBN13: 9781466664784
DOI: 10.4018/978-1-4666-6477-7
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MLA

Azevedo, Ana, and Manuel Filipe Santos, editors. Integration of Data Mining in Business Intelligence Systems. IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6477-7

APA

Azevedo, A. & Santos, M. F. (Eds.). (2015). Integration of Data Mining in Business Intelligence Systems. IGI Global. https://doi.org/10.4018/978-1-4666-6477-7

Chicago

Azevedo, Ana, and Manuel Filipe Santos, eds. Integration of Data Mining in Business Intelligence Systems. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6477-7

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Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries.

Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Business Strategy and Competitive Advantage (ABSCA) Book Series
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Dedication
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Editorial Advisory Board and List of Reviewers
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Foreword
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Preface
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Acknowledgment
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Chapters
Chapter 1
Fundamentals and Literature Review
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Chapter 2
Approaches and Methodologies
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Chapter 3
Web and Text Mining Applications
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Chapter 4
Applications to Specific Domains
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Chapter 5
Software Issues  (pages 239-239)
Software Issues
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Back Materials
Compilation of References
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About the Contributors
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Index
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