Adaptive AFOPT Algorithm

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Cornelia Györödi Articles by Robert Györödi Articles by Mirela Pater Articles by Ovidiu Boc Articles by Zoltan David

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

Timisoara, Romania

September 25-September 29

ISBN: 0-7695-2453-2

	ASCII Text	x
	Cornelia Györödi, Robert Györödi, Mirela Pater, Ovidiu Boc, Zoltan David, "Adaptive AFOPT Algorithm," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 134-138, Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005.

	BibTex	x
	@article{ 10.1109/SYNASC.2005.17, author = {Cornelia Györödi and Robert Györödi and Mirela Pater and Ovidiu Boc and Zoltan David}, title = {Adaptive AFOPT Algorithm}, journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on}, volume = {0}, year = {2005}, isbn = {0-7695-2453-2}, pages = {134-138}, doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2005.17}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on TI - Adaptive AFOPT Algorithm SN - 0-7695-2453-2 SP134 EP138 A1 - Cornelia Györödi, A1 - Robert Györödi, A1 - Mirela Pater, A1 - Ovidiu Boc, A1 - Zoltan David, PY - 2005 KW - null VL - 0 JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on ER -

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SYNASC.2005.17

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.

Citation:

Cornelia Györödi, Robert Györödi, Mirela Pater, Ovidiu Boc, Zoltan David, "Adaptive AFOPT Algorithm," synasc, pp.134-138, Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.