| Mining the Web: Discovering Knowledge from Hypertext Data Contributor(s): Chakrabarti, Soumen (Author) |
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ISBN: 1558607544 ISBN-13: 9781558607545 Publisher: Morgan Kaufmann Publishers OUR PRICE: $87.26 Product Type: Hardcover - Other Formats Published: October 2002 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Mining - Computers | Internet - General - Computers | System Administration - Storage & Retrieval |
| Dewey: 005.788 |
| LCCN: 2002107241 |
| Series: The Morgan Kaufmann Data Management Systems |
| Physical Information: 1.04" H x 7.54" W x 9.52" (1.66 lbs) 368 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |