Date: Mon, 26 Apr 1999 09:34:26 +0200 From: knowledgeminer@iworld.to (Frank Lemke) Subject: Self-organizing Data Mining Using KnowledgeMiner Self-organizing Data Mining Using KnowledgeMiner KnowledgeMiner provides most objective, easiest, and fastest data mining available today. It works using three advanced self-organizing modeling technologies: Group Method of Data Handling (GMDH Neural Networks), Analog Complexing and Fuzzy Rule Induction. This is the first time that all of these algorithms have been available in one place on any computer platform. Built on the cybernetic principles of self-organization, KnowledgeMiner can learn completely unknown relationships between the outputs and inputs of a given system in an evolutionary way from a very simple organization to an optimally complex one by itself very fast. For Neural Networks this means, e.g., that it creates an optimal network topology automatically without predefinition. Also as it learns about a new dataset it generates equations, patterns or rules on the fly that model that data. KnowledgeMiner has been used successfully for analysis, prediction and classification in the fields of finance, economics, imaging, ecology, health, biotechnology, chemistry, math and many others. Professionals in many areas can benefit by downloading and trying out the examples then using this tool to mine their own field for new relationships. KnowledgeMiner can be downloaded from: http://www.scriptsoftware.com/km/index.html Included datasets and examples range from prediction of global temperature, stock market trends, medical diagnosis, failure of materials (like the Challenger Space Shuttle O-Ring), to party affiliation in the US congress. The many examples included with KM show its power to work on human issues. For more info and a free download see: http://www.scriptsoftware.com/km/index.html
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