The Research & Implement For Mining Association Rules Of Definite Semanteme

With the development of information industrialization,the capability of data productivity and collection increase rapidly. New requirement has been raised for new technology and automatic implement to transform magnanimity data to knowledge. Data Mining comes out for this demand.Firstly introduced is Data Mining,including definition,classification,technology involved,design method of DM system and mutual fields,such as Knowledge Discovery in Database,Data Warehouse On-Line Analysis Processing,Data pretreatment.Among patterns mined,Association Rules is important,well-developed in theory and high value in practice. Principium and application of Association Rules are detailed.Majority in study of Association Rules is to mined-object with rich and complex semanteme. This paper proposes an algorithm based-on attribute paradox set to mining association rules of Definite Semanteme,named as APSM. In addition,Project with good universality has been designed and implemented to Evaluation and Management Network based Intelligence for Undergraduate.