City Libraries, City of Gold Coast

Mining the Web, discovering knowledge from hypertext data, Soumen Chakrabarti

Label
Mining the Web, discovering knowledge from hypertext data, Soumen Chakrabarti
Language
eng
Bibliography note
Includes bibliographical references (p. 307-326) and index
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
Mining the Web
Medium
electronic resource
Nature of contents
bibliography
Responsibility statement
Soumen Chakrabarti
Series statement
The Morgan Kaufmann series in data management systems
Sub title
discovering knowledge from hypertext data
Summary
Building on an initial survey of infrastructure issues, this text examines low-level machine learning techniques as they relate to Web mining. The final part of the book is devoted to the applications that unite infrastructure and analysis., 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
Target audience
specialized
Classification