降价啦！ Mining the Web: Discovering Knowledge from Hypertext Data [推广有奖]

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wolfox 发表于 2009-8-11 17:45:50 |AI写论文

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传一本网络挖掘的书，下面是Amazon上的评价。
Editorial Reviews       Review
"This book, forthe first time, makes it possible to offer Web Mining as a realcourse." -- Professor Jaideep Srivastava, University of Minnesota. -- Review

   Review
"...solid and beneficial to readersinterested in Web data mining, especially those interested in thedetails of algorithmic implementation." = Bernard J. Jansen, Information Processing & Management

"Thetreatment is systematic, comprehensive and in-depth, yet very lucid andaccessible to a wide range of Web technology developers. The author'sinsights and depth of knowledge as on of the pioneering researchers onhypertext information mining and retrieval are also evident in theextensive and useful bibliographic notes provided at the end of eachchapter..." - Professor Joydeep Ghosh, University of Texas, Austin

"Theauthor has done the community a great service by synthesizing all theimportant work in this field into an excellent book, which introducesfairly sophisticated material in an easy-to-read manner. This book forthe first time, makes it possible to offer Web Mining as a realcourse." - Professor Jaideep Srivastava, University of Minnesota

" Mining the Web: Discovering Knowledge from Hypertext from Hypertext Data,by Soumen Chakrabarti, focuses extensively on building a better searchengine crawler...Chakrabarti's book begins with a discussion of searchengine crawlers in a chapter titled "Crawling the Web." The discussionin this chapter is technical and detailed. Readers learn about featuressuch as the robots.txt file that can be written in a certain way tostop crawlers from visiting a page...The most interesting part of thebook is perhaps Chapter 7, "Social Network Analysis." In this chapter,the author presents the most famous search engine algorithms (e.g.,PageRank, HITS, SALSA)." - Journal of Marketing Research, SandeepKrishnamurthy

"All in all this is an excellent book. I enjoyedthe book and highly recommend it as a textbook for web data miningclasses at graduate or senior undergraduate levels. Chakrabarti has arich vocabulary and is a gifted writer. I bet he will write new, goodbooks in the future, and he should. I look forward to them." - FazliCan - Miami University



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