GAJA: A New Consistent, Concise and Precise Data Mining Algorithm

نویسندگان

  • Suwimon Kooptiwoot
  • Muhammad Abdus Salam
چکیده

In this paper we present a new data mining algorithm which can give us the relationship among attributes within data set concisely and precisely. The relationships found from this algorithm shown in the rule form are consistent by not depending on the total number of record within the data set or the different proportion of all of the possible cases within the data set. This algorithm is neither classification algorithm nor association rules algorithm. The number of rules generated from this algorithm can be comparable with classification algorithm and the precise of the rules generated can be comparable with the association rules algorithms. We also show the results from testing this algorithm against two classification algorithms and two association rules algorithms with the synthetic data set with known relationship among attributes within the data set.

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تاریخ انتشار 2005