Web Resources

Tools for Data Mining and Knowledge Discovery. Comprehensive list of tools with Internet Links.

Article by Peggy Wright that presents the results of a literature survey outlining the state-of-the-art in KDD techniques and tools.

Provides web automation solutions by 'driving' the browser. Applications in B2B integration, web automation, content aggregation, data warehousing, and data mining browser helpers.

Data, text, and web mining software. PolyAnalyst includes in-place mining, strong Microsoft integration.

By Gary Saarenvirta. A step-by-step look at a powerful clustering and segmentation methodology.

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.

Real-time relationship marketing and personalization, integrating high-scale data mining, analytic, and recommendation technologies with a direct conduit to action.

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.

What, Why and How do we Know ? Research into models for knowledge management in business organisation decision support. (Supersedes Ian's Knowledge Modelling Weblog)

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.

White paper on the Deep Web, an area of the Internet 550 times larger than the surface web crawled by traditional search engines.

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.