A hybrid approach of Knowledge Discovery in fishery resources evaluation

A framework is put for ward,which integrates Knowledge Discovery in Database (KDD) with case based reasoning (CBR) and Bayesian network.The following tasks are fulfilled:(1)discovering refined rules;(2)retrieving structured data which can not be described by flat vector feature;(3)forecasting the location of central fishing ground for the next week.All these have been applied to a real case with some encouraging and interesting results.