Research on Evidence Theory Decision Tree Adaptive Website
To meet the personalized needs of web user, a new method combine decision tree base on WEB log with multidimensional data and evidence theory is proposed. This paper first generalizes the concept hierarchies in uncertain database, and then extends the decision tree technique to an uncertain environment where the uncertain is represented by evidence theory. This evidence theory concept hierarchy decision tree algorithm is a new classification method adapt to deal with large-scale uncertain data which come from WEB log, show good accurately performance and good interact performance and good adaptively performance.
Decision Tree Uncertain Data Evidence Theory Adaptive Website
LI Fang YANG Bing LI Yi-Yuan
College of computer science and control, Guili university of electronic technology, Guilin 541001
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2237-2240
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）