Dissertation Knowledge Discovery In Databases writers of is just what you are looking for. We are Dissertation Knowledge Discovery In Databases here to get in touch with a relevant expert so that you can complete your work on time. To achieve that, we invest in the training of our writing and editorial team KNOWLEDGE DISCOVERY IN DATABASES Kenneth A. Kaufman, Ph.D. George Mason University, Dissertation Director: Dr. Ryszard S. Michalski Abstract This thesis presents a methodology for multistrategy knowledge discovery from databases, and its experimental validation through the implementation and testing of the INLEN system considering the high volume, complexity, and poor quality of the medical databases. In this thesis, we discuss the challenges facing the medical data mining. The focus is on the issues, difficulties and the discovered rules. Using commercially available data mining tools namely XLMiner, Knowledge Studio, different data mining techniques such as
"Knowledge discovery in biological databases : a neural network approac" by Qicheng Ma
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