An Evaluative Algorithm for the Data Mining in Population Data Warehouse
During the data processing based on population data warehouse, a large scale of evolutive information was produced accompany the data mining and knowledge discovery, which is very important for the final rule. This paper introduces the research of a multi-agent algorithm to process the evolutive information in data mining on population data warehousing, also givesJhe mathematic model and corresponding rule for it,which include data extraction and check-up, data normalization, and a mechanism to support market analysis and forecast. The paper also summarizes some basic requirements and data model constructing for applying data warehouse in population fields.
Evolutive Algorithm Data Mining Data Warehouse.
Wenchuan Yang Peng Wang Chunyang Gao Yanyang Fan Huahua Luan
Beijing Univ. of Post & Telecom.Beijing, 100876, P.R.China
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
881-885
2006-07-17(万方平台首次上网日期,不代表论文的发表时间)