Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining)

Read ^ Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining) by Daniel T. Larose, Chantal D. Larose È eBook or Kindle ePUB. Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining) This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Learn methods of data analysis and their application to real-world data setsThis updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. Chapters provid

Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining)

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Rating : 4.25 (950 Votes)
Asin : 1118116194
Format Type : paperback
Number of Pages : 824 Pages
Publish Date : 2017-03-08
Language : English

DESCRIPTION:

This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Learn methods of data analysis and their application to real-world data setsThis updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets.Data Mining and Predictive Analytics, Second Edition:Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming languageFeatures over 750 chapter exercises, allowing readers to assess their understanding of the new materialProvides a detailed case study that brings together the lessons learned in the bookIncludes access to the companion website, dataminingconsultant, with exclusive password-protected instructor contentData Mining and Predictive Analytics, Second Edition will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.. The authors apply a unified “white bo

It is almost impossible for nonprofessionals to read. And it is fully surrounded by mathmatical formula rather than practices. HANS Since the reviews were making me understand that it is possible for me to study this book alone, I purchased.However, this is really difficult to understand without deep insight in math and statistics.I am an MBA students at one of top ranked schools, and I am confident to have a good sense of mathmatics.However, . ns said A must have companion for every data miner. The best way to get into data mining profession is to have the right education of it first. Data Mining and Predictive Analytics (DMPA) does the job very well by getting you into data mining learning mode with ease.This book has been a big help for me so far. Even though several key area of data mining is math and. Diverse Interests said Exceptional textbook. Bought this text for a class. I wanted to be sure I was interested in the material and adequately prepared to do the work. I read a third of the book on my own. It is well written, technically thorough, mathematically understandable, and actually quite interesting. I marveled at the amount of material in it with o

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