Mining the Web by Soumen Chakrabarti

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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.

About Soumen Chakrabarti

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Cox is the founder and president of Scianta Intelligence. University of Waikato, New Zealand Simon Fraser University, British Columbia, Canada Simon Fraser University, British Columbia, Canada Pyle is president of Xychron Corp., a data mining technology development and consulting company. Richard E. Neapolitan" has been a researcher in Bayesian networks and the area of uncertainty in artificial intelligence since the mid-1980s. In 1990, he wrote the seminal text, "Probabilistic Reasoning in Expert Systems," which helped to unify the field of Bayesian networks. Dr. Neapolitan has published numerous articles spanning the fields of computer science, mathematics, philosophy of science, and psychology. Dr. Neapolitan is currently professor and chair of Computer Science at Northeastern Illinois University. Markus Schneider: 1983-1990 Studium der Informatik an der UniversitAt Dortmund; 1991-1995 wissenschaftlicher Mitarbeiter am Lehrgebiet Praktische Informatik IV der FernUniversitAt Hagen; Promotion 1995. 1995-2001 Hochschulassistent an der FernUniversitAt Hagen mit Forschungsschwerpunkt im Bereich Datenbanksysteme, insbesondere rAumliche, raum-zeitliche und Fuzzy-Datenbanksysteme. Seit Januar 2001: Assistant Professor an der University of Florida, Gainesville, USA, im Department of Computer & Information Science & Engineering (CISE); Forschungsinteressen und -schwerpunkte: Datenmodellierung, Datenbanksysteme allg., erweiterbare Datenbanksysteme, rAumliche/geometrische Datenbanken, raum-zeitliche Datenbanken, Fuzzy-Datenbanken, genomische Datenbanken, angewandte algorithmische Geometrie. University of Waikato, New Zealand
Published October 16, 2002 by Morgan Kaufmann. 344 pages
Genres: Computers & Technology, Professional & Technical. Non-fiction

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