KDnuggets : News : 2006 : n15          ( Previous issue | Next issue )

KDnuggetsTM News 06:n15, Aug 7, 2006

Features | Software | Courses | Jobs | Academic/Research | Publications | Briefs | CFP | Quote
  1. Is there a Grand Challenge for Data Mining?
  2. Poll Results: Most analyze table data, followed by time-series
  3. New Poll: Can computers make better decisions than humans?
  4. ACM SIGKDD Innovation Award to Ramakrishnan Srikant
  5. ACM SIGKDD Service Award to Won Kim
  6. AOL Datasets available for Research
  7. Data Mining - art exhibit in New York
  8. Interesting Blogs Entries
  9. Top items from KDnuggets News 06:n14, Jul 25
  1. Data Mining Template Library (DMTL) -- Release 1.0
  1. Learn Predictive Analytics with Salford Systems (Chicago, Philly, San Diego)
  2. DATA MINING: Levels I, II & III [ San Diego: Sept | Las Vegas: Dec ]
  1. New York, NY: Statistical Marketing Manager at Redcats USA
  2. Vienna, VA: Member Research Analyst at Navy Federal Credit Union
  3. Dodgeville, WI: Senior Business Analyst - Web Analytics at Lands' End
  4. San Diego, CA: Technical Production Analyst at Union Bank of California
  5. Chicago, IL: Predictive Modeling Analyst at Ernst & Young LLP
  6. Charlotte, NC: Statistician at Bank of America
  1. Research Officer, Security and Privacy at NRC (Canada)
  1. New Book: Joe Celko's Analytics and OLAP in SQL
  2. New Book: Advanced Analysis of Gene Expression Microarray Data
  3. Tuzhilin Report on Google Click Fraud is available
  1. Google Shares Click Fraud Stats
  2. IDC names BI market share leaders, predicts consolidation
  3. Gates Won't Fund AIDS Researchers Unless They Pool Data
  4. UCI researchers 'text mine' The New York Times
  5. New Study Confirms that it Really Does Pay to Advertise
  6. SPSS Reports Record Second Quarter and First Half Revenues
  7. QL2 Software and TEMIS Join Forces to Unlock Value from the Web
  8. All Our N-gram are Belong to You: Google releases a trillion words
  1. IEEE ICDM'06 Awards: Nominations by August 15, 2006
  2. Utility-Based Data Mining (DMKD Spec. Issue), due Oct 17
Most of the projects we work on start out with people saying, "You can't do that." What they really mean is, "We haven't done that before."

Dean Kamen

KDnuggets : News : 2006 : n15

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