摘要
针对目前道路交通肇事逃逸案件逐年增多情况,利用改进后的粗糙集属性约简算法对案件记录卷宗中的大量数据进行约简处理,得到和原始数据等效的属性约简集,将此约简集作为挖掘的数据基础,大大缩小了数据量,使得侦破人员可以将注意力集中于重要的物证采集上,减少了案件侦破中不必要的人、财、物消耗,同时数据量的减小也相应的加快了挖掘的速度。将在此约简集基础上挖掘得到的规则和关联规则算法得出的规则进行比较,证明改进后的约简算法是有效的。
Due to the increasing of the traffic accident cases, an improved rough sets induction algorithm was introduced to condense the large amount of data in case document. As a result,got an induction of attributes on which police' attention could be focused. This method will reduce the cost in detection and accelerate the mining process. Finally a comparison was made between the rules obtained through the rough sets algorithm based on the inductive set and the rules obtained through the apriori algorithm, which proved the validity of the improved algorithm.
出处
《微机发展》
2003年第12期125-126,F003,共3页
Microcomputer Development
