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| #250415 in Books | Springer | 2015-04-14 | Original language:English | PDF # 1 | 10.00 x1.63 x7.00l,.0 | File type: PDF | 734 pages | Springer||10 of 10 people found the following review helpful.| Complete coverage of data mining|By AKS|This book is a great resource on data mining. In the past, I found that these types of books are written either from a "data mining" perspective, or from a "machine learning" perspective. Data mining books frequently omit many basic machine learning methods such as linear, kernel, or logistic regression. However, machine learning books|||“Written by one of the most prodigious editors and authors in the data mining community, Data mining: the textbook is a comprehensive introduction to the fundamentals and applications of data mining. The recent drive in industry and academic towa
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and ...
You can specify the type of files you want, for your gadget.Data Mining: The Textbook | Charu C. Aggarwal. Just read it with an open mind because none of us really know.
