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作者 Maheshwari, Anil, 1949-, author
書名 Business intelligence and data mining / Anil K. Maheshwari
出版項 New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2015
國際標準書號 9781631571213 e-book
9781631571206 paperback
book jacket
版本 First edition
說明 1 online resource (xiv, 162 pages)
text rdacontent
computer rdamedia
online resource rdacarrier
系列 Big data and business analytics collection, 2333-6757
Big data and business analytics collection. 2333-6757
附註 Includes bibliographical references (pages 157-158) and index
1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index
Access restricted to authorized users and institutions
Business is the act of doing something productive to serve someone's needs, and thus earn a living, and make the world a better place. Business activities are recorded on paper or using electronic media, and then these records become data. There is more data from customers' responses and on the industry as a whole. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business so that it can evolve to become more effective and efficient in serving customer needs. And the cycle continues on. Business intelligence includes tools and techniques for data gathering, analysis, and visualization for helping with executive decision making in any industry. Data mining includes statistical and machine-learning techniques to build decision-making models from raw data. Data mining techniques covered in this book include decision trees, regression, artificial neural networks, cluster analysis, and many more. Text mining, web mining, and big data are also covered in an easy way. A primer on data modeling is included for those uninitiated in this topic
Title from PDF title page (viewed on January 26, 2015)
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries
鏈接 Print version: 9781631571206
主題 Business information services
Data mining
Business intelligence
Data Analytics
Data Mining
Business Intelligence
Decision Trees
Regression
Neural Networks
Cluster analysis
Association rules
Electronic books
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