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Data Mining: A Tutorial Based Primer
Richard Roiger, Michael Geatz
[PDF.pj79] Data Mining: A Tutorial Based Primer
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| #1269811 in Books | 2002-10-06 | Original language:English | PDF # 1 | 9.00 x.70 x7.30l,1.42 | File type: PDF | 408 pages||13 of 13 people found the following review helpful.| Overall, a very good hands-on book for learning data mining|By A Customer|The book does a good job covering basic data mining terminology and concepts, and provides introductory, but still subtantial coverage of the most common data mining methods. Positives: a trial version of the easy-to-use Excel-based iDA tool is included with the book, which allows the reader to rep|About the Author|
Richard J. Roiger is a professor of computer science at Minnesota State University, Mankato and a senior software engineer for Information Acumen Corporation (www.infoacumen.com). Richard received a Ph.D.
This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded perspective. A basic familiarity with the field of data mining concepts is built and then enhanced via 13 data mining tutorials. Upon completion of these tutorials, students will be fully able to data mine. This book is appropriate for students of CS, MIS, and Information Technology.
You can specify the type of files you want, for your gadget.Data Mining: A Tutorial Based Primer | Richard Roiger, Michael Geatz. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.