AN APPROACH OF DATA MINING ON COMPRESSED TRANSACTION

Indu Maurya, Ashish Maurya

Abstract


Data mining has many useful applications in recent years because it can help user discover interesting knowledge in large databases. However, existing compression algorithms are not appropriate for data mining. The various data  mining approaches which is used to compress the database and then perform the mining operation such as , M2TQT PINCER- SEARCH algorithm , APRIORI algorithm and ID3 algorithm, TM algorithm etc. in this paper we are using the M2TQT approach to improve the performance of mining. Thus, it is observed that, M2TQT performs better than existing approach.

Keywords


Association rule, Data mining, Merged transaction

References


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