By
Soumen Chakrabarti, Asst. Prof. of Computer Science, Indian Institute of Technology, Bombay
Description
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.
Audience:
data mining academics, research and development professionals in data mining, senior/graduate level students in computer science
