[PDF.40da] Web Mining and Social Networking: Techniques and Applications (Web Information Systems Engineering and Internet Technologies Book Series)

Web Mining and Social Networking: Techniques and Applications (Web Information Systems Engineering and Internet Technologies Book Series)

[PDF.yi94] Web Mining and Social Networking: Techniques and Applications (Web Information Systems Engineering and Internet Technologies Book Series)

Web Mining and Social  Guandong Xu, Yanchun Zhang, Lin Li epub
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 | #13555755 in Books |  Springer |  2012-12-01 |  2012-12-01 | Original language:English | PDF # 1 |  9.25 x.53 x6.10l,.73 | File type: PDF | 210 pages

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||0 of 0 people found the following review helpful.| Using for a graduate course in data mining|By Kurt B|This book is very concise. It doesn't have an index or a lot of examples. It is terse, and the material is difficult in some places, probably more for people without a math background. If you want to look up 'precision' or 'entropy' - then good luck. I am using another textbook to ensure I can get back to certain formulas. Th| ||From the reviews:|“The authors present the theoretical foundation, algorithmic techniques, and practical applications of Web mining, Web personalization and recommendation, and Web community analysis. … this is an interesting book for people who

This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community m...

You can specify the type of files you want, for your gadget.Web Mining and Social Networking: Techniques and Applications (Web Information Systems Engineering and Internet Technologies Book Series)   |  Guandong Xu, Yanchun Zhang, Lin Li. A good, fresh read, highly recommended.

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