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2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2005)
Timisoara, Romania
Sept. 25, 2005 to Sept. 29, 2005
ISBN: 0-7695-2453-2
pp: 134-138
Ovidiu Boc , University of Oradea
Cornelia Györödi , University of Oradea
Zoltan David , University of Oradea
Mirela Pater , University of Oradea
Robert Györödi , University of Oradea
ABSTRACT
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.
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CITATION
Ovidiu Boc, Cornelia Györödi, Zoltan David, Mirela Pater, Robert Györödi, "Adaptive AFOPT Algorithm", 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, vol. 00, no. , pp. 134-138, 2005, doi:10.1109/SYNASC.2005.17
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