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Knowledge Discovery: BKD at KDD

Marc Eisenstadt, Wednesday 16 September 1998 | Annotate
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With the backdrop of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), the Open University presented the new version of Bayesian Knowledge Discoverer (BKD), the knowledge discovery program able to extract Bayesian Networks from (possibly incomplete) databases, developed by the joint effort of the Knowledge Media Institute (Marco Ramoni) and the Department of Statistics (Paola Sebastiani).

KDD is the leading international conference in the fast-growing field of data mining. This year, it was hosted by the Mariott Marquis Hotel in Times Square, right in the heart of Manhattan. BKD was presented to more than one hundred participants during the 2-day special session devoted to software and research prototype demonstration. The package continues to be used at over a thousand sites worldwide, as reported in an earlier Planet story (see archive).

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Marc Eisenstadt

Emeritus Professor; KMi Co-Founder and Chief Scientist

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