基于Rough集的动态信息系统的规则挖掘

Data Mining in Dynamic Information System Based on Rough Set

在动态信息系统模型下,采用Rough集的方法对信息系统在时间进程与场景变化中的规律进行研究。在论域不变的条件下,提出差异信息系统的概念与构造过程,并在此基础上给出了一种启发式的规则挖掘算法,并对算法复杂度进行了分析。利用该算法得到的决策规则,很好地反映了条件性值的变化与决策变化趋势之间的内在联系。

Under the dynamic information system model, adapts mines rules in the change of time and scene. In the condition of fixed universe, introduces the concept of differential information system and constructing process. Based on these, proposes a heuristic rules mining algorithm and analyses its complexity. Such decision rules, gotten from the algorithm, reflect the inner relation between the change of condition attribute values and the trend of decisionmaking.