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Data Mining and Business Intelligence: A Guide to Productivity

Data Mining and Business Intelligence: A Guide to Productivity

Copyright: © 2001 |Pages: 180
ISBN13: 9781930708037|ISBN10: 1930708033|EISBN13: 9781930708808
DOI: 10.4018/978-1-930708-03-7
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MLA

Hoptroff, Richard, and Stephan Kudyba. Data Mining and Business Intelligence: A Guide to Productivity. IGI Global, 2001. https://doi.org/10.4018/978-1-930708-03-7

APA

Hoptroff, R. & Kudyba, S. (2001). Data Mining and Business Intelligence: A Guide to Productivity. IGI Global. https://doi.org/10.4018/978-1-930708-03-7

Chicago

Hoptroff, Richard, and Stephan Kudyba. Data Mining and Business Intelligence: A Guide to Productivity. Hershey, PA: IGI Global, 2001. https://doi.org/10.4018/978-1-930708-03-7

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Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a less technical, more managerial style. The book incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various applications that promotes efficiency for the firm.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Acknowledgments
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Preface
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Chapters
Laying the Groundwork for Data Mining Technology
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Prevalent Applications in the World of Commerce
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Back Materials
Appendix
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Appendix
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Appendix
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Appendix
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About the Authors
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Index
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