Data Mining: Technologies, Techniques, Tools, and Trends, 1st Edition (Hardback) book cover

Data Mining

Technologies, Techniques, Tools, and Trends, 1st Edition

By Bhavani Thuraisingham

CRC Press

288 pages

Purchasing Options:$ = USD
Hardback: 9780849318153
pub: 1998-12-18
SAVE ~$29.00
$145.00
$116.00
x
eBook (VitalSource) : 9780429172090
pub: 2014-01-23
from $72.50


FREE Standard Shipping!

Description

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.

  • Table of Contents

    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

    About the Author

    Thuraisingham, Bhavani

    Subject Categories

    BISAC Subject Codes/Headings:
    BUS083000
    BUSINESS & ECONOMICS / Information Management
    COM021030
    COMPUTERS / Database Management / Data Mining
    COM032000
    COMPUTERS / Information Technology
    MAT029000
    MATHEMATICS / Probability & Statistics / General