Data Mining: Knowledge Discovery MethodsPublisher: Springer
Language: English
ISBN: 0387333339
Paperback: 505 pages
Data: Feb 2007
Format: PDF
Description: This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.

下载 | Download: RapidShare - (8M)


Please leave message if the download links are dead.
We will update them ASAP!



Related Books

  • Knowledge Discovery and Data Mining: Challenges and Realities
  • Advanced Methods for Knowledge Discovery from Complex Data
  • Data Mining and Knowledge Discovery Technologies
  • Advanced Techniques in Knowledge Discovery and Data Mining
  • Soft Computing for Knowledge Discovery and Data Mining
  • Data Warehousing and Knowledge Discovery
  • Rough-Granular Computing in Knowledge Discovery and Data Mining
  • Mobility, Data Mining and Privacy: Geographic Knowledge Discovery
  • Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications
  • Data Mining for Design and Marketing

  • One Response to “Data Mining: Knowledge Discovery Methods”

    1. muzzi Says:

      Cannot download from Rapidshare
      always get Invalid Session Error message

    Leave a Reply

    You must be logged in to post a comment.