文献类型：会议论文

英文题名：Research on algorithm of function set mining based on interests

作者：Zhang, Jing-zun[1]; Wang, Yu-xin[1]; Zhang, Rui-zhe[1]

第一作者：张敬尊

通讯作者：Zhang, J.|[11417a49f0e05e78a1acd]张经;[114179d342fd5159a2509]张剑;[114172d803cbf75fca33b]张娟;[11417520877f3909b0ef5]张京;[11417c0846d8fd8d336fb]张静;[114174e083fe1559d60db]张军;[1141746b62372e61cb30a]张静;[11417baeb6d60d6b245f1]张静;[1141765eb59d34574a3e1]张瑾;[114171b4b3f1088293e64]张俭;[114176100bed22aa0a6a5]张健;

机构：[1] College of Information, Beijing Union University, Beijing, China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]College of Information, Beijing Union University, Beijing, China|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：Materials Science and Information Technology II

会议日期：August 24, 2012 - August 26, 2012

会议地点：Xi'an, Shaan, China

语种：英文

外文关键词：Algorithms - Data mining - Information technology - Materials science - Mining

摘要：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 user's experience, expectations and prior knowledge to the mining process. IFSM succeeds in improving the description and enhancing the mining efficiency and quality.? (2012) Trans Tech Publications, Switzerland.