03701cam a2200601 i 4500 vtls000078784 MTX m eo d cr cn |||m|||a 160715s2015 nyu foab 001 0 eng d 9781631571213 e-book 9781631571206 paperback (OCoLC)900878630 (CaBNVSL)swl00404634 201607151122 staff 201605041220 admin CaBNVSL eng rda CaBNVSL CaBNVSL HF54.5 .M243 2015 658.4038 23 Ebook Maheshwari, Anil, 1949-, author. 114529 Business intelligence and data mining / Anil K. Maheshwari. First edition. New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2015. 1 online resource (xiv, 162 pages) text rdacontent computer rdamedia online resource rdacarrier Big data and business analytics collection, 2333-6757 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. Also available in print. Mode of access: World Wide Web. System requirements: Adobe Acrobat reader. Title from PDF title page (viewed on January 26, 2015). Business information services. 114530 Data mining. 102997 Business intelligence. 19167 data analytics Data mining Business Intelligence Decision Trees regression Neural Networks Cluster analysis Association rules Print version: 9781631571206 Big data and business analytics collection. 2333-6757 114531 http://portal.igpublish.com/iglibrary/search/BEPB0000349.html 10 75348 75348