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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

Shrawan Kumar Trivedi, Shubhamoy Dey, Anil Kumar, Tapan Kumar Panda
Copyright: © 2017 |Pages: 438
ISBN13: 9781522520313|ISBN10: 1522520317|EISBN13: 9781522520320
DOI: 10.4018/978-1-5225-2031-3
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MLA

Trivedi, Shrawan Kumar, et al., editors. Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2031-3

APA

Trivedi, S. K., Dey, S., Kumar, A., & Panda, T. K. (Eds.). (2017). Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence. IGI Global. https://doi.org/10.4018/978-1-5225-2031-3

Chicago

Trivedi, Shrawan Kumar, et al., eds. Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2031-3

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The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges.

The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Business Information Systems and Analytics (ABISA) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
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Business Intelligence With Data Mining: Process and Applications
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Social Media Analytics With Sentiment Analysis: Business Applications and Methods
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Big Data Analytics: Its Methods and Applications
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Advanced Data Analytics: Decision Models and Business Applications
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Back Materials
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Compilation of References
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About the Contributors
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Index
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