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View Resource KDnuggets News: Data Mining and Knowledge Discovery Newsletter

KD Nuggets posts articles on Data Mining, Knowledge Discovery, Genomic Mining, Web Mining that range from the serious to the silly, along with other resources. Current and past issues are available to 1993, and the site provides a simple search engine for those looking for specific information as well as the ability to browse the news database by year.

View Resource The Data Mine

The Data Mine website is an excellent place to venture into detailed and complex explorations on data mining. The site is divided up in to five topic areas, or "webs," which include: "Data Mining Software," "Data Mining Events," "Data Mining General/Misc," "People Working in Data Mining," and "Data Mining Companies and Organizations." Visitors are encouraged to add information from their data...

View Resource Cabling Installation & Maintenance Magazine

This site offers articles and information about cabling solutions and components for fiber and copper communications, voice, data, and video systems. Cable installation and repair issues cover coaxial, twisted-pair, fiber-optic, zipcord, wireless, and network management. Instructional videos covering timely topics of importance to workers and decisionmakers in the data telecommunications industry...

View Resource Weka Machine Learning Project

If you are inspired to try the process, the Weka Machine Learning Project from Waikato University offers open source software that can be used for data mining tasks. Visitors can also find the projects 1993 to 2006 publications, many of which are available for free in as PDFs. The "related" section offers a number of links to further information on topics such as artificial intelligence and...

View Resource SuperQuery: Data Mining for Everyone

This white paper provides a nice educational resource for data mining. It includes a basic overview of data mining, descriptions of what a pattern is (including what an interesting pattern is), the fact discovery engine of SuperQuery (how it avoids uninteresting facts, how it presents found facts), and conclusions.

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