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SKU/Artículo: AMZ-1558607544
Mining the Web: Discovering Knowledge from Hypertext Data
Format:
Hardcover
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
1.04 kg
1.04 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- 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.A comprehensive, critical exploration of statistics-based attempts to make sense of Web MiningDetails the special challenges associated with analyzing unstructured and semi-structured dataLooks at how classical Information Retrieval techniques have been modified for use with Web dataFocuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learningAnalyzes current applications for resource discovery and social network analysisAn excellent way to introduce students to especially vital applications of data mining and machine learning technology
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U$S 141,78
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