Application Research Of Data Mining For Forestry Statistics In Heilongjiang Province

With the modernization of forestry development and the depth of economic reform, through various fields of social production of forestry statistics database is rapidly expanding the scale of forestry statistics of the rapid growth of demand, thus excessive forestry statistical data has become the problems to be faced. In order to adapt to the requirements of the new situation in forestry statistics, it is necessary to use advanced statistical methods and modern scientific computing tools to manage the forestry statistics task. This is not only the supervision of production and operation activities of an important and effective means of operation and is also managers of the development of business strategy and work plan for the main basis. How the use of modern information means and how to make use of modern information technology equipment, from the mass of the original forest statistics accurate and efficient extraction of useful knowledge and information in decision-making significance, it has important practical significance.Data mining is a collection of statistics, artificial intelligence, database content and other disciplines, for large databases or data warehouses in the effective mass data processing, and extracting the value of the potential applications of information to enhance the utilization of information a valuable technology, this is the information processing technology in forestry research an important topic. But so far, have a good organizational structure of the data warehouse system is efficient online analytical processing and data mining functions, can provide accurate and effective decision-making analysis of the results of statistical information system in forestry has not yet appeared.In this paper, the perspective on Forestry Statistics in Heilongjiang Province of the method of data mining applications, with the general data mining and data warehousing, such as theory, regression theory and research in line with the Heilongjiang Provincial Forestry Statistics of data mining methods. Text in specific content from the forestry statistics, forestry statistics, as well as the characteristics of forestry importance of the quality of statistical data on such areas as data mining technology to the needs of forestry statistics analysis, combined with the theory of data mining technology to build the Heilongjiang Forestry Statistics Data Warehouse System, which set out the advantages of decision tree algorithm selection and composition, and empirical analysis of the relationship between data and rules for effective real-time processing and analysis of the deep-seated, hoping to promote forestry in the further development of statistical work.