Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05) (2005)
Sept. 25, 2005 to Sept. 29, 2005
Cornelia Györödi , University of Oradea
Robert Györödi , University of Oradea
Mirela Pater , University of Oradea
Ovidiu Boc , University of Oradea
Zoltan David , University of Oradea
Mining frequent patterns is a fundamental part of data mining. Most of the previous studies adopt an Apriori-like candidate set generation-and-test approach. The Apriori is the first algorithm which uses the Apriori property to prune the search space. In this paper the AFOPT algorithm is adapted for mining at different levels by using different support. Furthermore, the efficiency of this algorithm is being shown by comparing it to similar algorithms.
O. Boc, C. Györödi, Z. David, M. Pater and R. Györödi, "Adaptive AFOPT Algorithm," Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05)(SYNASC), Timisoara, Romania, 2005, pp. 134-138.