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Mining the Web : discovering knowledge from hypertext data /

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 issuesincluding Web crawling and indexingChakrabarti examines low-level mac...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chakrabarti, Soumen
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Francisco, CA : Morgan Kaufmann Publishers, �2003.
Temas:
Acceso en línea:Texto completo

MARC

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020 |a 9781558607545 
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035 |a (OCoLC)162596207  |z (OCoLC)856949677 
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082 0 4 |a 005.78/8  |2 22 
100 1 |a Chakrabarti, Soumen. 
245 1 0 |a Mining the Web :  |b discovering knowledge from hypertext data /  |c Soumen Chakrabarti. 
260 |a San Francisco, CA :  |b Morgan Kaufmann Publishers,  |c �2003. 
300 |a 1 online resource (xviii, 345 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 307-327) and index. 
505 0 |a 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. 
588 0 |a Print version record. 
520 |a 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 issuesincluding Web crawling and indexingChakrabarti 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 workpainstaking, critical, and forward-lookingreaders 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.</li></ul>. 
650 0 |a Data mining. 
650 0 |a Hypertext systems. 
650 0 |a Web databases. 
650 1 2 |a Data Mining  |0 (DNLM)D057225 
650 1 2 |a Information Storage and Retrieval  |x methods  |0 (DNLM)D016247Q000379 
650 1 2 |a Internet  |x statistics & numerical data  |0 (DNLM)D020407Q000706 
650 6 |a Exploration de donn&#xFFFD;ees (Informatique)  |0 (CaQQLa)201-0300292 
650 6 |a Hypertexte.  |0 (CaQQLa)201-0197323 
650 6 |a Bases de donn&#xFFFD;ees sur le Web.  |0 (CaQQLa)201-0340963 
650 7 |a Data mining.  |2 fast  |0 (OCoLC)fst00887946 
650 7 |a Hypertext systems.  |2 fast  |0 (OCoLC)fst00965876 
650 7 |a Web databases.  |2 fast  |0 (OCoLC)fst01173224 
655 4 |a Internet Resources. 
776 0 8 |i Print version:  |a Chakrabarti, Soumen.  |t Mining the Web.  |d San Francisco, CA : Morgan Kaufmann Publishers, &#xFFFD;2003  |z 1558607544  |z 9781558607545  |w (DLC) 2002107241  |w (OCoLC)50301829 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9781558607545  |z Texto completo