000			01816nam a22001817a 4500
999			_c21611 _d21611
020			_a9789352604180
041			_aENG
082			_a006.312 _bMAH
100			_aMaheshwari, Anil
245			_aData analytics / _cAnil Maheshwari
260			_aChennai (India) : _bMcGraw Hill Education (India) Private Limited, _c2017.
300			_axviii, 250 pages : _billustrations ; _c25 cm
505			_aWholeness of data analytics -- Business intelligence concepts and application -- Data warehousing -- Data mining -- Data visualization -- Decision trees -- Regression -- Artificial neural networks -- Cluster analysis -- Association rule mining -- Text mining -- Naïve-Bayes analysis -- Support vector machines -- Web mining -- Social network analysis -- Big data -- Data modeling primer -- Statistics primer -- Data science careers and additional case studies -- Appendix 1: R tutorial for data mining -- Appendix 2: Weka tutorial for data mining -- Additional resources -- Index.
520			_a "This is a concise and conversational textbook in the growing field of Data Analytics. Easy to read and informative, this lucid book covers important concepts with concrete examples, and invites the reader to join this field. This book is designed to provide a learner with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms. Learners across variety of academic discplines, including business, computer science, statistics, engineering, and others attracted to the idea of discovering new insights and ideas from data will enjoy this book. The chapters in the book are organized for a typical one-semester course"--Back cover
650			_aQuantitative research _xTextbooks.
650			_aQuantitative research.
942			_2ddc _cBK