吉林大学学报(工学版) ›› 2000, Vol. ›› Issue (2): 43-46.

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Research of Data Mining Based on Association Rule

LI Xiong-fei, YUAN Sen-miao, DONG Li-yan   

  1. College of Information Science & Engineering, Jilin University of Technology, Changchun130025, China
  • Received:1999-10-14 Online:2000-04-25

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Abstract: In this paper the algorithms of data mining based on association rules are discussed. An environment of algorithms tested is very important. This environment can lead the studies of algorithms on data mining and help somebody determine choice one to use. The synthetic data problem-oriented is more useful than the synthetic data stimulation-oriented in the test environment. We have advanced some ideas of data mining after studied Apriori. The second mining will improve efficiency of KDD for lots of rules which had been mined can be used.

Key words: KDD, data mining, algorithm, association rule, synthetic, test environment

CLC Number: 

  • TP182
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