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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Francisco, CA
Morgan Kaufmann Publishers
© 2003
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| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext |
| Zusammenfassung: | 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> |
| Beschreibung: | Includes bibliographical references (pages 307-327) and index |
| Beschreibung: | 1 online resource (xviii, 345 pages) illustrations |
| ISBN: | 9781558607545 1558607544 |
Internformat
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| 500 | |a Includes bibliographical references (pages 307-327) and index | ||
| 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 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a Hypertexte | |
| 650 | 4 | |a Bases de données sur le Web | |
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| 650 | 7 | |a Hypertext systems |2 fast | |
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Datensatz im Suchindex
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| author | Chakrabarti, Soumen |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
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| dewey-sort | 15.78 18 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| spelling | Chakrabarti, Soumen Verfasser aut Mining the Web discovering knowledge from hypertext data Soumen Chakrabarti San Francisco, CA Morgan Kaufmann Publishers © 2003 1 online resource (xviii, 345 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 307-327) and index 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> Exploration de données (Informatique) Hypertexte Bases de données sur le Web Data mining fast Hypertext systems fast Web databases fast Data Mining Information Storage and Retrieval / methods Internet / statistics & numerical data Data mining Hypertext systems Web databases Data Mining (DE-588)4428654-5 gnd rswk-swf World Wide Web (DE-588)4363898-3 gnd rswk-swf World Wide Web (DE-588)4363898-3 s Data Mining (DE-588)4428654-5 s 1\p DE-604 http://www.sciencedirect.com/science/book/9781558607545 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Chakrabarti, Soumen Mining the Web discovering knowledge from hypertext data Exploration de données (Informatique) Hypertexte Bases de données sur le Web Data mining fast Hypertext systems fast Web databases fast Data Mining Information Storage and Retrieval / methods Internet / statistics & numerical data Data mining Hypertext systems Web databases Data Mining (DE-588)4428654-5 gnd World Wide Web (DE-588)4363898-3 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4363898-3 |
| title | Mining the Web discovering knowledge from hypertext data |
| title_auth | Mining the Web discovering knowledge from hypertext data |
| title_exact_search | Mining the Web discovering knowledge from hypertext data |
| title_full | Mining the Web discovering knowledge from hypertext data Soumen Chakrabarti |
| title_fullStr | Mining the Web discovering knowledge from hypertext data Soumen Chakrabarti |
| title_full_unstemmed | Mining the Web discovering knowledge from hypertext data Soumen Chakrabarti |
| title_short | Mining the Web |
| title_sort | mining the web discovering knowledge from hypertext data |
| title_sub | discovering knowledge from hypertext data |
| topic | Exploration de données (Informatique) Hypertexte Bases de données sur le Web Data mining fast Hypertext systems fast Web databases fast Data Mining Information Storage and Retrieval / methods Internet / statistics & numerical data Data mining Hypertext systems Web databases Data Mining (DE-588)4428654-5 gnd World Wide Web (DE-588)4363898-3 gnd |
| topic_facet | Exploration de données (Informatique) Hypertexte Bases de données sur le Web Data mining Hypertext systems Web databases Data Mining Information Storage and Retrieval / methods Internet / statistics & numerical data World Wide Web |
| url | http://www.sciencedirect.com/science/book/9781558607545 |
| work_keys_str_mv | AT chakrabartisoumen miningthewebdiscoveringknowledgefromhypertextdata |