Frequent Data Itemset Mining Using VS_Apriori Algorithms
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4
Abstract
The organization, management and accessing of information in better manner in various data warehouse applications have been active areas of research for many researchers for more han last two decades. The work resented in this paper is ivated from their work and nspired to reduce complexity volved in data mining from ata warehouse. A new algorithm named VS_Apriori is ntroduced as the xtension of existing priori Algorithm that intelligently mines the frequent data temset in large scale database. Experimental results are sented to illustrate the role of Apriori Algorithm, to monstrate efficient way and to implement the Algorithm for generating requent data itemset. Experiments are also erformed to show high speedups
Authors and Affiliations
N. Badal , Shruti Tripathi
Keywords
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