Data Mining Multimedia

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Product Description
First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches. Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining. Discusses principles and classical algorithms on string matching and their role in data mining
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A primer on traditional hard and emerging soft computing approaches for mining multimedia data. While the digital revolution has made huge volumes of high dimensional multimedia data available, it has also challenged users to extract the information they seek from heretofore unthinkably huge datasets. Traditional hard computing data mining techniques have concentrated on flat-file applications. Soft computing tools–such as fuzzy sets, artificial neural networks, genetic algorithms, and rough sets–however, offer the opportunity to apply a wide range of data types to a variety of vital functions by handling real-life uncertainty with low-cost solutions. Data Mining: Multimedia, Soft Computing, and Bioinformatics provides an accessible introduction to fundamental and advanced data mining technologies.
This readable survey describes data mining strategies for a slew of data types, including numeric and alpha-numeric formats, text, images, video, graphics, and the mixed representations therein. Along with traditional concepts and functions of data mining–like classification, clustering, and rule mining–the authors highlight topical issues in multimedia applications and bioinformatics.
Product Details
Hardcover: 424 pages
Publisher: Wiley-Interscience; 1 edition (September 25, 2003)
Language: English
ISBN-10: 0471460540
ISBN-13: 978-0471460541
Product Dimensions: 9.7 x 6.1 x 1 inches

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