Research on algorithm of function set mining based on interests
Function mining aims to discover valid functions from various data which seem not related.Nowadays,the results of most mining algorithms are not capable to characterize the things fully,because the algorithms aim at one simple function,meanwhile,another one can achieve this task,but its efficiency is very low because of the too much iteration.The paper presents one new algorithm named interest-based function set mining algorithm (IFSM),it applies the users experience,expectations and prior knowledge to the mining process.IFSM succeeds in improving the description and enhancing the mining efficiency and quality.
interest function set function mining
Jing-zun Zhang Yu-xin Wang Rui-zhe Zhang
College of InformationBeijing Union UniversityBeijing, China
国际会议
西安
英文
1691-1694
2012-08-24（万方平台首次上网日期，不代表论文的发表时间）