The Study On Data-processing Solutions Of Forest Resources Management Information System

With the development of "digital forest", various kinds of forest resources data can be received. How to extract useful information and guidance of forestry information management, become the problem focused.In recent years, data warehouse and data mining technology become one of the hot issues in the research in the field of Information Engineering, which is a technology about decision support. Data warehouse can be used as the underlying data sources of decision support. Data mining is an effective tool to get the law between information. Their combined data for the forest resources can discover hidden deep-level information, to receive sample data sets based on the results of the analysis. Through the forest management knowledge to verify the conclusion, the level of forestry production will be improved.This paper first introduces the theory of Data Warehouse and Data Mining and other relative technique, then it provides an overview of the application of decision support systems in forestry prospects; it completes the forest resources of the basic structure of data warehouse. Through a variety of methods of analysis applied to forest resources to improve the data mining algorithm and the Apriority algorithm VNAR novel; Designed and implemented data mining system prototype, validate the feasibility of the algorithm.