Mining web discovering knowledge (25 risultati)

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Hardcover. Condizione: Very Good. Mining the Web: Discovering Knowledge from Hypertext Data (The Morgan Kaufmann Series in Data Management Systems) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .…

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Hardcover. Condizione: Very Good. 368 pages. Mining the Web: Discovering Knowledge from Hypertext Data is the first book d evoted entirely to techniques for producing knowledge from the vast body of unst ructured Web data. Building on an initial survey of infrastructural issuesinclud ing Web crawling and indexingChakrabarti examines low-level machine learning tec hniques as they relate specifically to the challenges of Web mining. He then dev otes the final part of the book to applications that unite infrastructure and an alysis to bring machine learning to bear on systematically acquired and stored d ata. Here the focus is on results: the strengths and weaknesses of these applica tions, along with their potential as foundations for further progress. From Chak rabarti's workpainstaking, critical, and forward-lookingreaders will gain the th eoretical and practical understanding they need to contribute to the Web mining effort. Editorial Reviews Review .solid and beneficial to readers interested in Web data mining, especially those interested in the details of algorithmic i mplementation. = Bernard J. Jansen, Information Processing & Management The treatment is systematic, comprehensive and in-depth, yet very lucid and accessi ble to a wide range of Web technology developers. The author's insights and dept h of knowledge as on of the pioneering researchers on hypertext information mini ng and retrieval are also evident in the extensive and useful bibliographic note s provided at the end of each chapter. - Professor Joydeep Ghosh, University o f Texas, Austin The author has done the community a great service by synthesizi ng all the important work in this field into an excellent book, which introduces fairly sophisticated material in an easy-to-read manner. This book for the firs.…

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Hardcover. Condizione: Very Good. 1st Edition. In Very Good Condition With No Remarks Or Highlights. 344 Pages With The Index.We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.…

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

Condizione: Used: Good. Occasion - Bon Etat - Mining the web. Discovering knowledge from hypertext data (2002) - Grand Format.

Hardcover. Condizione: Brand New. 345 pages. 9.50x7.50x1.00 inches. In Stock.

Hardcover. Condizione: New.

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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | This is one of the first books devoted to issues and solutions related to hypertext data, and to developing the systems that will allow for easier information access of Web based information.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…