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Top: Reference: Knowledge_Management: Knowledge_Discovery:
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» KD Nuggets Tool Links - Tools for Data Mining and Knowledge Discovery. Comprehensive list of tools with Internet Links.
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» Knowmadic Inc. - Provides web automation solutions by 'driving' the browser. Applications in B2B integration, web automation, content aggregation, data warehousing, and data mining browser helpers.
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» Megaputer Intelligence - Data, text, and web mining software. PolyAnalyst includes in-place mining, strong Microsoft integration.
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» Mining Customer Data - By Gary Saarenvirta. A step-by-step look at a powerful clustering and segmentation methodology.
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» model&mine - Dorian Pyle, author of "Data Preparation for Data Mining", provides resources on data mining, business modeling, and analytical CRM, including: articles, White Papers, downloads, books, information on courses and consulting, extensive links, and FAQs for mining pro's and newbies.
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» Net Perceptions - Real-time relationship marketing and personalization, integrating high-scale data mining, analytic, and recommendation technologies with a direct conduit to action.
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» Nonlinear Thinking - A thought process that offers simple solutions within complexity reducing the dependence on experts, consultants and external resources. Features articles and tips for discovering novel solutions to recurring problems.
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» Psybertron Knowledge Modelling Weblog - What, Why and How do we Know ? Research into models for knowledge management in business organisation decision support. (Supersedes Ian's Knowledge Modelling Weblog)
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» Second Moment - The news and business resource for applied analytics. Powerful content weblog mixing articles, commentary, technique and critique of the intersection of academic KD research and the directed KD of corporations.
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» UCI Knowledge Discovery in Databases Archive - An online repository of large datasets which encompasses a wide variety of data types, analysis tasks, and application areas. The primary role of this repository is to serve as a benchmark testbed to enable researchers in knowledge discovery and data mining to scale existing and future data analysis algorithms to very large and complex data sets.
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