The Application Of Data Mining In Comprehensive Assessment Of National Area

Since the reform and opening up, China has obtained enormous changes, and theeconomy has made remarkable achievements. Science and technology are primaryproductive forces, our country’s economy aggregate became larger under science andtechnology power, and the power has grown too. China’s economy increasedsignificantly, under economic globalization which bring a lot of businessopportunities Highly developed electronic information, not only supplyingopportunity to our country, but also bringing challenges. Many good factors improvedChina’s economic development, but economy in eastern, central and western regionshas a large gap. Analyzing the causes and the status of these gaps producedsub-regional development of the country has important significance.In this paper, China Statistical Yearbook of statistics is data source, based on thetheory of data mining algorithms principal component analysis algorithm, clusteringalgorithm and neural network algorithm, the data mining algorithms were applied tothe country’s31provinces and municipalities autonomous regions Comprehensiveappraisal.There are two main tasks of this paper.Firstly, using principal component analysis algorithm for the country’s31provinces and municipalities and autonomous regions, analyzing36propertiesindicators of research data including public traffic conditions, water supply, urbanconstruction, the green areas and parks, the city facility level, city sanitation etc, itanalyzed the country’s31provinces and autonomous regions and municipalitiescomprehensive appraisal rank analysis.Secondly, it proposed clustering model based on principal component analysis, and applying this model to the country31provinces and municipalities andautonomous regions in the category. Combing principal component analysis andcluster analysis algorithm，it proposed clustering algorithm based on principalcomponent analysis, so the country’s31provinces and municipalities and autonomousregions were clustered to obtain three categories, namely developed regions,developing regions and underdeveloped areas, and comparing the actual situation,then it analyzed regional development gap in China.There is large difference among developed areas of China, the general area andunderdeveloped areas, but difference was in the segments, so it need an analysis ofeconomic data for each region in order to be more conducive to the development ofpolicy; at the same time, in various regions inside, the different provinces havedifferences, it also need to analyze the differences in order to facilitate thedevelopment and implementation of economic policies. Therefore, each province’seconomic analysis of the data can provide better support for the development of thevarious regions of the country, and it can promote a balanced and effectivedevelopment of our economy.