KDnuggets News for 2006

• 06:n01, Jan 10: Top 2005 Items; Popular 2006 Conferences; Amazon Wish-list mining.
• 06:n02, Jan 24: Text mining; New Forum Topics; Dangerous idea?.
• 06:n03, Feb 7: 7 New Forums; Google subpoena poll: Privacy vs Child protection; Gartner MQ.
• 06:n04, Feb 28: Privacy wins; Data miners income by region; ML Competition (Brain data) - 10K prize; 10 new jobs.
• 06:n05, Mar 14: Data Miners Income by Region; Analytics blogs.
• 06:n06, Mar 28: 3 or more email addresses; Web mining poll; Transaction aggregation methodology?
• 06:n07, Apr 11: Web mining; Record number of new job ads; SETI@home - helping the ultimate discovery?
• 06:n08, May 2: Popular DM Methods; Data Mining Cup; Software - Best Job?
• 06:n09, May 16: Data Mining Tools Popularity; NSA Data Mining; KDD Cup 2006; Data Mining Innovation and Service Awards
• 06:n10, May 30: Scepticism on NSA; Who is most interested in Data Mining; Was FDA wrong on Vioxx ?
• 06:n11, Jun 13: Largest DB Data Mined, Another View on Tool Polls.
• 06:n12, Jun 27: Data storage; KDD-06; Successful Applications.
• 06:n13, Jul 11: Data Mining Applications; Web mining course materials.
• 06:n14, Jul 25: Types of Data; CRISP-2.0; Web2DB service.
• 06:n15, Aug 7: Grand Challenge for Data Mining? New AOL and Google datasets; 2006 Innovation and Service awards.
• 06:n16, Aug 29: Is Mining AOL Searches Ethical? KDD Cup Results; YALE and KNIME.
• 06:n17, Sep 12: Aggregate Mining is OK; Fall Courses.
• 06:n18, Sep 26: Popular DM Deployment methods; Pentaho buys Weka project; Google's 200 year news archive.
• 06:n19, Oct 10: Netflix $1 million prize for better accuracy; DM Role; CRISP-DM 2.0.
• 06:n20, Oct 23: More on Netflix prize, Rattle, Java Data Mining.
• 06:n21, Nov 7: KDD 2007 CFP; Netflix Prize Progress slows; Professional Societies; ICDM awards; Bayesia; Miner3D releases.
• 06:n22, Nov 21: First KDD Webcast on Web Content Mining; DM Blogs.
• 06:n23, Dec 5: KDD.org; Web Analytics Tools; Web Content Mining Webcast.
• 06:n24, Dec 19: No rush to Vista; YouTube for Data? New Books.