Data Mining

Multimedia, Soft Computing, and Bioinformatics

Sushmita Mitra, Tinku Acharya

402 pages, parution le 23/10/2003

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Résumé

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.
Principal topics discussed throughout the text include:

The role of soft computing and its principles in data mining
Principles and classical algorithms on string matching and their role in data (mainly text) mining
Data compression principles for both lossless and lossy techniques, including their scope in data mining
Access of data using matching pursuits both in raw and compressed data domains
Application in mining biological databases

Introduction to Data Mining
Soft Computing
Multimedia Data Compression
String Matching
Classification in Data Mining
Clustering in Data Mining
Association Rules
Rule Mining with Soft Computing
Multimedia Data Mining
Bioinformatics: An Application
Index
About the Authors

L'auteur - Sushmita Mitra

He is an associate professor at Machine Intelligence Unit, Indian Statistical Institute, in Calcutta. She is a coauthor of Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, also published by Wiley.

L'auteur - Tinku Acharya

Tinku Acharya, PhD, is Chief Science Officer and Senior Executive Vice President of Avisere, Inc., Tucson, Arizona, and an adjunct professor in the Department of Electrical Engineering at Arizona State University, Tempe, Arizona. With seventy-four U.S. patents, fourteen European patents, and more than fifty patents pending, Professor Acharya has been recognized as Intel Corporation's "Most Prolific Inventor" in 1999 and 2001 worldwide and for five consecutive years (1997-2001) in Arizona. He has published three books and more than sixty papers in the area of multimedia computing.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Sushmita Mitra, Tinku Acharya
Parution	23/10/2003
Nb. de pages	402
Format	16 x 24
Couverture	Relié
Poids	725g
Intérieur	Noir et Blanc
EAN13	9780471460541
ISBN13	978-0-471-46054-1