Data Mining

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Data Mining: Technologies, Techniques, Tools, and Trends

Data Mining: Technologies, Techniques, Tools, and Trends

Published:

December 18, 1998 by CRC Press - 288 Pages

Author(s):

Bhavani Thuraisingham, The University of Texas at Dallas, Richardson, USA

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Purchasing Options

Hardback

$125.95

ISBN 9780849318153

Cat# 1815

Features

Outlines models, prototypes, and products for data mining

Analyzes information, patterns, and trends from various data sources

Discusses complex ideas in an accessible manner

Explains various data management technologies and shows their relationship to mining

Identifies suitable data mining products for a particular problem

Summary

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.

Three parts divide Data Mining:

Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining

Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information

Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues.

This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence.

Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.

Introduction
Database Systems
Data Warehousing
Some Other Technologies for Data Mining
Architectural Support for Data Mining
Data Mining from Start to Finish
Data Mining Outcomes, Approaches, and Techniques
Logic Programming as a Data Mining Technique
Data Mining Tools
Mining Distributed, Heterogeneous, and Legacy Databases
Data Mining on Multimedia Data
Data Mining and the World Wide Web
Security and Privacy Issues of Data Mining
Metadata Aspects of Mining
Summary and Directions
References
Appendices
Data Management
Artificial Intelligence

Editorial Reviews

"Reading Data Mining by Bhavani Thuraisingham is a poignant experience…masterful and readable summary of her field…a profound overview of an important domain of human knowledge…a memorable opus."
-Dr. Dobb's Journal

"…a comprehensive overview of data mining on almost all aspects…this book is a good introductory material, especially helpful to business managers and project leaders who want to profit from the goldmine of data mining…"
-Zhi-Hua Zhou, Journal of Computing and Information Technology, CIT 9, 2001

"Focusing on a data-centric perspective, this book provides a comprehensive overview of data mining on almost all aspects, including its basic concepts, current technologies, popular techniques, commercial products, and future challenges."
-Bojan Zdrnja, Journal of Computing and Information Technology, CIT 9, 2001