Large-Scale Parallel Data Mining

Large-Scale Parallel Data Mining
Author :
Publisher : Springer Science & Business Media
Total Pages : 270
Release :
ISBN-10 : 9783540671947
ISBN-13 : 3540671943
Rating : 4/5 (943 Downloads)

Book Synopsis Large-Scale Parallel Data Mining by : Mohammed J. Zaki

Download or read book Large-Scale Parallel Data Mining written by Mohammed J. Zaki and published by Springer Science & Business Media. This book was released on 2000-02-23 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the unprecedented growth-rate at which data is being collected and stored electronically today in almost all fields of human endeavor, the efficient extraction of useful information from the data available is becoming an increasing scientific challenge and a massive economic need. This book presents thoroughly reviewed and revised full versions of papers presented at a workshop on the topic held during KDD'99 in San Diego, California, USA in August 1999 complemented by several invited chapters and a detailed introductory survey in order to provide complete coverage of the relevant issues. The contributions presented cover all major tasks in data mining including parallel and distributed mining frameworks, associations, sequences, clustering, and classification. All in all, the volume presents the state of the art in the young and dynamic field of parallel and distributed data mining methods. It will be a valuable source of reference for researchers and professionals.


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