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Data Mining


Links

  1. An Introduction to Data Mining

  2. How data mining has evolved and how to use it effectively. (5/25/99)

  3. Asia Market Research: Database Marketing: Digging for Business Gold

  4. Saavy marketers are learning how to cope with the new order of customer relations by using powerful tools such as database marketing and data mining. (4/01)

  5. Association for Computing Machinery: Special Interest Group on Knowledge Discovery in Data and Data Mining

  6. Ecourages basic research, adoption of standards, interdisciplinary education among KDD researchers, practitioners, and users. News, events calendar, list of relevant links.

  7. CIO Magazine: Data Warehouse Research Center

  8. Data warehousing and data mining whitepapers, articles, case studies, glossary, organizations, events and vendors. Free newsletter available.

  9. Computerworld: Data Mining

  10. Author Stewart Deck gives a clear and concise definition of data mining, and the tools to mine data for your company. (3/29/99)

  11. Data Management Association (DAMA)

  12. Global organization of data management professionals. Sponsor seminars and local chapters. Free and premium services.

  13. DM Review: Resource Portal: Data Mining

  14. Articles and columns, white paper library, events calendar, online forums, recommended books, Web resources.

  15. Information Discovery: OLAP and DataMining - Bridging the Gap

  16. "OLAP and data mining are integral parts of any decision support process." Find out how the two are interrelated here. (10/15/99)

  17. ITtoolbox Business Intelligence

  18. Offers forums for technical discussion, an integrated directory, white papers, and daily news geared towards business intelligence. Also provides content, community, and job postings.

  19. KD Nuggets

  20. Guide to data mining, Web mining, knowledge discovery, and eCRM. Newsletter and a directory of relevant links.

  21. Megaputer Intelligence: What is Data Mining?

  22. Tutorial explains many aspects of data mining, from what it is to problems it solves.

  23. National Center for Data Mining

  24. Under the auspices of the University of Illinois at Chicago, this lab performs research and development in data mining.

  25. National Center for Supercomputing Applications: Data, Mining, and Visualization

  26. Explores and applies solutions for the management and analysis of large complex data sets.

  27. PBS.org: I, Cringely: Invisible Giant

  28. "How the SAS Institute makes tons of money solving business problems most companies don't even know they have." (4/11/02)

  29. Technology Review: The Technology Review Ten: Data Mining

  30. MIT's Technology Review says data mining ("a tour de force of database technology") is one of ten "emerging technologies that will change the world." Interview with Usama Fayyad, one of the pioneers of the field of data mining. (1/2/01)

  31. The Data Management Center: Dirctory of Data Warehouse, Data Mining, and Decision Support Resources

  32. Directory assists you in locating data mining software and consultants.

  33. The Data Mine

  34. The Data Mine provides information about Data Mining and Knowledge Discovery in Databases (KDD), also known as Knowledge Acquisition from Databases and Knowledge Discovery.

  35. The Data Mining Group

  36. A consortium of industry and academics formed to facilitate the creation of useful standards for the data mining community.

  37. Thearling, Kurt, Ph.D.

  38. Home page of Kurt Thearling, Ph.D provides links to white paper reports in the field of data mining, a data mining tutorial, and book reviews relevant to the technology.

  39. Two Crows: Data Mining Glossary

  40. Glossary of data mining terms provided by Two Crows Corporation, a leading data mining consulting firm.

  41. University of Alabama ITSC Data Mining Center

  42. The Data Mining Center actively pursues collaboration in research and development in the areas of data mining and applications of data mining. Includes descriptions of research projects, case studies and diagrams describing data mining scenarios.

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