Data Mining/Statistical Analysis

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Online Publications/Magazines

ACM SIG-KDD Explorations Newsletter
Explorations is published twice yearly, in June/July and in December/January. The newsletter is distributed in hardcopy form to all members of the ACM SIGKDD. It is also sent to ACM's network of libraries. Online versions are available on the web free to the general public. The newsletter's goal is to make the SIGKDD Newsletter an informative, rapid means of publication and dynamic forum for communication with the Knowledge discovery and data mining community.

KDNuggets News
KDnuggets News is a newsletter for the data mining and knowledge discovery community. KDnuggets News is free and includes news, software, jobs, courses, events, webcasts, and other topics related to data mining and knowledge discovery.

The Modeling Agency Quarterly Newsletter
Receive training schedule updates, new course announcements and non-promotional articles on knowledge discovery, data mining, predictive modeling and knowledge engineering via The Modeling Agency's free electronic newsletter.  Instructions on how to unsubscribe are included with each issue. 

Miscellaneous

Data Mining Job Board: Data Shaping
DataShaping.com is an analytic job board. Specializing in business intelligence, statistics, analytics, data management, data mining, data analysis, SAS Programming, CRM, artificial intelligence, web mining, Six Sigma, operations research, risk management, database marketing and quant.

KDD Cup 2007
Details about the 2007 KDD Cup, including winners.

PAKDD 2007 Data Mining Competition
The 11th Pacific-Asia Knowledge Discovery and Data Mining Conference (PAKDD 2007) hosted the 2007 data mining competition, co-organized by the Singapore Institute of Statistics. Competition details and information about the winners.

Education

13th International Conference on Knowledge Discovery and Data Mining
The thirteenth ACM SIGKDD conference, held in August of 2007, provided a forum for researchers from academia, industry, and government, developers, practitioners, and the data mining user community to share their research and experience. View presentations from this conference online.


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