English | 2015 | ISBN: 978-1-118-11619-7 | 824 Pages | PDF | 11 MB
Learn methods of data analysis and their application toreal-world data sets This updated second edition serves as an introduction to datamining methods and models, including association rules, clustering,neural networks, logistic regression, and multivariate analysis.The authors apply a unified “white box” approach todata mining methods and models. This approach is designed to walkreaders through the operations and nuances of the various methods,using small data sets, so readers can gain an insight into theinner workings of the method under review. Chapters provide readerswith hands-on analysis problems, representing an opportunity forreaders to apply their newly-acquired data mining expertise tosolving 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 Rstatistical programming language * Features over 750 chapter exercises, allowing readers to assesstheir understanding of the new material * Provides a detailed case study that brings together the lessonslearned in the book * Includes access to the companion website,www.dataminingconsultant, with exclusive password-protectedinstructor content
Data Mining and Predictive Analytics, SecondEdition will appeal to computer science and statisticstudents, as well as students in MBA programs, and chiefexecutives.