Data Mining: Technologies, Techniques, Tools, and Trends

Bhavani Thuraisingham

  • 出版商: CRC Press
  • 出版日期: 1998-12-18
  • 售價: $1,440
  • 貴賓價: 9.8$1,411
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Hardcover
  • ISBN: 0849318157
  • ISBN-13: 9780849318153
  • 相關分類: 資料探勘





  • 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

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