Mining the Web : Discovering Knowledge from Hypertext Data
Chakrabarti, Soumen
ISBN 10: 1558607544 ISBN 13: 9781558607545
Editorial: Elsevier Science & Technology, 2002
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Better World Books Ltd, Dunfermline, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
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Descripción
Descripción:
Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de ref. del artículo GRP76566082
Sinopsis:
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 strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work―painstaking, critical, and forward-looking―readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.
Acerca del autor: Soumen Chakrabarti is assistant Professor in Computer Science and Engineering at the Indian Institute of Technology, Bombay. Prior to joining IIT, he worked on hypertext databases and data mining at IBM Almaden Research Center. He has developed three systems and holds five patents in this area. Chakrabarti has served as a vice-chair and program committee member for many conferences, including WWW, SIGIR, ICDE, and KDD, and as a guest editor of the IEEE TKDE special issue on mining and searching the Web. His work on focused crawling received the Best Paper award at the 8th International World Wide Web Conference (1999). He holds a Ph.D. from the University of California, Berkeley.
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Detalles bibliográficos
Título: Mining the Web : Discovering Knowledge from ...
Editorial: Elsevier Science & Technology
Año de publicación: 2002
Encuadernación: Encuadernación de tapa dura
Condición: Very Good
Edición: 1 Edition.