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 toolssuch as fuzzy sets, artificial neural networks, genetic algorithms, and rough setshowever, 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 mininglike classification, clustering, and rule miningthe authors highlight topical issues in multimedia applications and bioinformatics. Principal topics discussed throughout the text include:
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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 toolssuch as fuzzy sets, artificial neural networks, genetic algorithms, and rough setshowever, 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 mininglike classification, clustering, and rule miningthe authors highlight topical issues in multimedia applications and bioinformatics. Principal topics discussed throughout the text include:
Imprint | John Wiley & Sons |
Country of origin | United States |
Release date | October 2003 |
Availability | Expected to ship within 12 - 17 working days |
First published | 2003 |
Authors | S. Mitra |
Dimensions | 245 x 157 x 28mm (L x W x T) |
Format | Hardcover |
Pages | 424 |
Edition | New |
ISBN-13 | 978-0-471-46054-1 |
Barcode | 9780471460541 |
Categories | |
LSN | 0-471-46054-0 |