Study on Incremental Data Mining Based on Rough Set Theory

This paper presented an incremental data mining algorithm for mining simplified rules. By using a method of the attribute’s number increased progressively to check the superfluity of the decision rules. RIDA makes full use of mined rules to mine decision rules from new instance. This algorithm has a high efficiency with simple calculation compared with classical Rough set mining algorithm. And it has verified feasibility and validity of this algorithm through the instance analysis.