An Evolutive 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 gives the 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