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 issues-including Web crawling and indexing-Chakrabarti examines low-level m...
Autor principal: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
San Francisco, CA :
Morgan Kaufmann Publishers
c2003.
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Edición: | 1st edition |
Colección: | Morgan Kaufmann series in data management systems.
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Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627937006719 |
Sumario: | 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 st |
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Notas: | Description based upon print version of record. |
Descripción Física: | 1 online resource (365 p.) |
Bibliografía: | Includes bibliographical references and index. |
ISBN: | 9781281035325 9786611035327 9780080511726 |