Abstract:

By discussing the core functions of an auxiliary system and the decision-making process of an investigation, we build a model framework of the auxiliary system. In the core process of data mining, the techniques of data aggregation and association rules are adopted. And by means of revising the rule library after solving a case, we make the system feature a certain degree of self-learning capability for the rules. Thus the contradictions between the  massive investigation data and valuable data are solved,

Key words: data mining, investigation decision-making, data aggregations association rule