Data Mining: Technologies, Techniques, Tools, and Trends

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Hardback
ISBN 9780849318153
Cat# 1815

$129.95

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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.
  • 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

    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

     

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