Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05) (2005)

Timisoara, Romania

Sept. 25, 2005 to Sept. 29, 2005

ISBN: 0-7695-2453-2

pp: 134-138

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

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.

INDEX TERMS

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CITATION

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.

doi:10.1109/SYNASC.2005.17

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