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Mining the Web: Discovering Knowledge from Hypertext Data by Soumen Chakrabarti
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- Buy it nowMining the Web: Discovering Knowledge from Hypertext Data by Soumen Chakrabarti
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Item specifics
- Condition
- Book Title
- Mining the Web: Discovering Knowledge from Hypertext Data
- Publication Date
- 2002-10-09
- Pages
- 368
- ISBN
- 9781558607545
About this product
Product Identifiers
Publisher
Elsevier Science & Technology
ISBN-10
1558607544
ISBN-13
9781558607545
eBay Product ID (ePID)
2275829
Product Key Features
Number of Pages
344 Pages
Publication Name
Mining the Web : Discovering Knowledge from Hypertext Data
Language
English
Publication Year
2002
Subject
Programming / General, Management Information Systems, Expert Systems, Databases / Data Mining, Databases / General
Type
Textbook
Subject Area
Computers
Series
The Morgan Kaufmann Series in Data Management Systems Ser.
Format
Hardcover
Dimensions
Item Weight
3.9 Oz
Item Length
9.2 in
Item Width
7.4 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2002-107241
Dewey Edition
22
Reviews
"...solid and beneficial to readers interested in Web data mining, especially those interested in the details of algorithmic implementation." = Bernard J. Jansen, Information Processing & Management "The treatment is systematic, comprehensive and in-depth, yet very lucid and accessible to a wide range of Web technology developers. The author's insights and depth of knowledge as on of the pioneering researchers on hypertext information mining and retrieval are also evident in the extensive and useful bibliographic notes provided at the end of each chapter..." - Professor Joydeep Ghosh, University of Texas, Austin "The author has done the community a great service by synthesizing all the important work in this field into an excellent book, which introduces fairly sophisticated material in an easy-to-read manner. This book for the first time, makes it possible to offer Web Mining as a real course." - 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 search engine crawler...Chakrabarti's book begins with a discussion of search engine crawlers in a chapter titled "Crawling the Web." The discussion in this chapter is technical and detailed. Readers learn about features such as the robots.txt file that can be written in a certain way to stop crawlers from visiting a page...The most interesting part of the book 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, Sandeep Krishnamurthy "All in all this is an excellent book. I enjoyed the book and highly recommend it as a textbook for web data mining classes at graduate or senior undergraduate levels. Chakrabarti has a rich vocabulary and is a gifted writer. I bet he will write new, good books in the future, and he should. I look forward to them." - Fazli Can - Miami University, "...solid and beneficial to readers interested in Web data mining, especially those interested in the details of algorithmic implementation." = Bernard J. Jansen, Information Processing & Management "The treatment is systematic, comprehensive and in-depth, yet very lucid and accessible to a wide range of Web technology developers. The author's insights and depth of knowledge as on of the pioneering researchers on hypertext information mining and retrieval are also evident in the extensive and useful bibliographic notes provided at the end of each chapter..." - Professor Joydeep Ghosh, University of Texas, Austin "The author has done the community a great service by synthesizing all the important work in this field into an excellent book, which introduces fairly sophisticated material in an easy-to-read manner. This book for the first time, makes it possible to offer Web Mining as a real course." - 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 search engine crawler...Chakrabarti's book begins with a discussion of search engine crawlers in a chapter titled "Crawling the Web." The discussion in this chapter is technical and detailed. Readers learn about features such as the robots.txt file that can be written in a certain way to stop crawlers from visiting a page...The most interesting part of the book 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, Sandeep Krishnamurthy "All in all this is an excellent book. I enjoyed the book and highly recommend it as a textbook for web data mining classes at graduate or senior undergraduate levels. Chakrabarti has a rich vocabulary and is a gifted writer. I bet he will write new, good books in the future, and he should. I look forward to them." - Fazli Can - Miami University, "...solid and beneficial to readers interested in Web data mining, especially those interested in the details of algorithmic implementation." - Bernard J. Jansen, Information Processing & Management "This book, for the first time, makes it possible to offer Web Mining as a real course." -- Professor Jaideep Srivastava, University of Minnesota.
Illustrated
Yes
Dewey Decimal
005.78/8
Table Of Content
Preface. Introduction. I Infrastructure: Crawling the Web. Web search. II Learning: Similarity and clustering. Supervised learning for text. Semi-supervised learning. III Applications: Social network analysis. Resource discovery. The future of Web mining.
Synopsis
Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues--including Web crawling and indexing--Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work--painstaking, critical, and forward-looking--readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort., Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues--including Web crawling and indexing--Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work--painstaking, critical, and forward-looking--readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort. * A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining. * Details the special challenges associated with analyzing unstructured and semi-structured data. * Looks at how classical Information Retrieval techniques have been modified for use with Web data. * Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning. * Analyzes current applications for resource discovery and social network analysis. * An excellent way to introduce students to especially vital applications of data mining and machine learning technology.
LC Classification Number
QA76.9.D343
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- a***a (346)- Feedback left by buyer.Past 6 monthsVerified purchaseThis hardback book is of the highest quality, has a fine appearance , arrived in perfect condition, and is an excellent value. On what I was not asked about this time, communicating with the seller would have required using email outside of the eBay system, because they do not accept eBay messages, the book was well packed in a purpose-designed cardboard box, the shipping was faster than I expected for the bound media rate, and the book was exactly as described and pictured.Tameshigiri - The History and Development of Japanese Sword Testing by Sesko (#282906424466)
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- a***e- Feedback left by buyer.Past monthVerified purchaseProfessional Seller; Wide Inventory Selection; Competitive Prices; Great Communication; FAST Ship; Item Safely & Well-Packaged; Item Accurately Described in Listing; Item of High Quality and in Mint Condition; Appearance of Item is Great! Highly Recommended; Hope to Do Business with Again! Thank You Very Much!
- m***u (849)- Feedback left by buyer.Past 6 monthsVerified purchaseAbsolutely delightful seller! As pictured and described, fast shipping, and great communication! Excellent packaging and a phenomenal value! This seller is an extremely valuable asset to the eBay community! A++++! ✨🥇✨
- a***a (346)- Feedback left by buyer.Past 6 monthsVerified purchaseThis hardback book is of the highest quality, has a fine appearance , arrived in perfect condition, and is an excellent value. On what I was not asked about this time, communicating with the seller would have required using email outside of the eBay system, because they do not accept eBay messages, the book was well packed in a purpose-designed cardboard box, the shipping was faster than I expected for the bound media rate, and the book was exactly as described and pictured.Tameshigiri - The History and Development of Japanese Sword Testing by Sesko (#282906424466)