Soumen Chakrabarti <br/><br/>
Mining the Web: Discovering Knowledge from Hypertext Data 

 - 	San Francisco  Morgan Kaufmann Publishers/ Elsevier  2005 
 - 	xviii, 345 pages : illustrations ; 25 cm. 
<br/><br/>	Crawling the Web -- Web search and information retrieval -- Similarity and clustering -- Supervised learning -- Semisupervised learning -- Social network analysis -- Resource discovery -- The future of Web mining. 
<br/><br/> Examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. This work focuses on applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data.  
<br/><br/><label>ISBN: </label>9788181478863 
<br/><br/><label>Subjects--Topical Terms: </label><br/> 	      Data mining.     Hypertext systems.     Web databases. 
<br/><br/><label>Dewey Class. No.: </label>005.72 CHA-M