Comments/Suggestions

• Tools and Software

• Data Mining with WEKA, A Tutorial

• Online Papers

• Data Sets and Sources of Data
  • Preprocessed DePaul CTI Web Usage Data - Cleaned, filtered, and sessionized data of visits to the main CTI site during a 2 week period in April 2002. The data also includes basic statistics on users and sessions.
  • Cleaned DePaul CTI Web Usage Data - The full cleaned CTI Web usage data for April 2002. This data set has been cleaned (including spider removal) and converted into tab delimited format. However, no user identification, sessionization, or other data preparation steps have been performed.
  • Non-Preprocessed DePaul CTI Web Usage Data - The full CTI Web usage data for April 2002. The only cleaning step performed on this data was the removal of references to auxiliary files (e.g., image files). No other cleaning or preprocessing has been performed. The data is in the original log format used by Microsoft IIS.
  • Movie Ratings Data - Real movie ratings data from www.movielens.org Web site. Contains ratings on 1600+ movies by 1000 users.
  • UCI KDD Archive - An online repository of large data sets which encompasses a wide variety of data types, analysis tasks, and application areas.
• Resources & Reference Material
  • Knowledge Discovery Nuggets (KDnuggets) - Great starting point: tools, links, companies, etc.
  • Data Miners - This is the companion site for the text book and the Data Miners company Web page; includes links to various DM resources.
  • AAAI topics on Data Mining and Discovery, a collections of links to publications.
  • CRISP - DM, an industry consortium developing the CRoss-Industry Standard Process Model for Data Mining.
  • Data Mining Glossary - from Two Crows
  • Software for Data Mining and Knowledge Discovery - from KDnuggets
  • Blogs on data mining and analytics - from KDnuggets.
  • A collection of Web Mining links and papers (T. Zhu)
  • Data Mining- Overview and links by Doug Alexander
  • Mining E-Customer Behavior - By Jesus Mena; article in DB2 Magazine.
  • Yahoo Data Mining Club