This article firstly introduce the Tax Inspection related concepts and theory, andanalyze the issues existing in current Tax Inspection activities, such as the division ofinspection objects is too ambiguous, less effective inspection approach. Then explainsthe Data Mining related knowledge, research and applications. It improves that the DataMining has high research and implementation value. Basing on kinds of theory andapproach of Data Ming and Machine Learning, research the Decision Tree inClassification Analysis and Clustering Analysis.Research the ID3and K-Means algorithm. Basing on the issues and the analysis ofthe process of Tax Inspection uses UML tools and Java, Preefuse to implement theDecision Tree analysis and Clustering Analysis with object-oriented principles. Analyzethe real data in Tax Inspection activities and valid the availability and practicability ofDecision Tree and Clustering Analysis approach. |