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...

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Detalles Bibliográficos
Autor principal: Chakrabarti, Soumen (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: San Francisco, CA : Morgan Kaufmann Publishers c2003.
Edición:1st edition
Colección:Morgan Kaufmann series in data management systems.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627937006719
Descripción
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
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