決定木・GAを用いたデータマイニングによる赤潮発生要因の同定

抄録

In this study consists of the following two topics, one is a basic considerationo n a data miningw hich is the power of currentd ataprocessingf unctions, o f interestingk nowledger ules from huge database.A nd the other, we introduced ata mining with a view to discuss applications of artificial life and decision tree procedures. Data mining procedures which, decision tree using information entropy theory and genetic algorithm are proposed, and red tide data from Tokyo bay were analyzed. Finally, it is found that the usefulness of these data mining procedures for non-strucural system identification