Incremental Mining Algorithm in E-commerce System
Jinlan Liu · Jisuanji gongcheng · 2007
Commercial data mining theories are studied.Web based E-commerce operation pattern is defined and its properties are provided.A mapping theorem is proved,in which a “point-to-set” mapping between Web page links and commerce indexes is presented,establishing the relations between the client browsing patterns,monitoring points in Web pages and commerce process.A new data model is proposed to record business activities.And a new incremental mining algorithm is provided to mine associations between sets of commerce indexes in amazingly increasing data set,by improving discovering and pruning part of present association rule mining algorithm.The method is implemented on third part Web based logistics information system.Experiments show that the algorithm is efficient for data set changed frequently.Based on agent technology,ability of tracking and analyzing commerce information in real time is promoted effectively.