The Research And Implementation Of Forestry Science Literature Network Modeling System Based On Association Rules

All things in the real world can be represented as a complex network, and introduction of complex network systems play a helpful role to solve complex modeling and analysis issues. With the continuous development of science and technology, people created a huge amount of data in the process of work, research and life. People are increasingly interested in finding the hidden information in large amounts of data to guide business decisions, scientific research and help in daily life. This paper studies the problem of establishing network based association rules.This paper introduces the concept, development path of complex networks and reviews the concepts and methods of association rules. Then analysis the principle of Apriori algorithm and based on Apriori algorithm, design a multidimensional association rules algorithm. Then preprocess forestry science and technology literature. At last, with the Apriori algorithm and multidimensional association rules analyze data, construct keywords network, thus completing the network work.Thesis design and implement networking system based on association rules.This system has four main modules:data preprocessing module, one-dimensional association rules analysis module, multi-dimensional association rules analysis module and file export module. First, using data preprocessing module organize the forestry science and technology literature data. Then using one-dimensional and multi-dimensional analysis module analyze data. Then export the results file to see visual effects. The results show that the formation of the network is effective and network nodes distributed around the year.