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This work is licensed under a Creative Commons Attribution 4.0 International License.
A Speculative Study of Apriori with Inferencifiction(SSAI)
RUCHI GUPTA, POOJA SAHARAN Assistant Professor, CSE Dept, ABES Engineering College / Mahamaya Technical University, Ghaziabad, U.P, India
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Abstract: Frequent Pattern discovery is one of the major problem in areas of Data Mining and Business Intelligence, because it reveals associations, correlations, and many other interesting relationships among items in the transactional databases. FPD is a process of searching for patterns such as set of features/ items that appear in data frequently. Our idea is to introduce inference rules in association with association rules that reduces the use of join operation while applying Apriori algo to a transactional database to discover the frequent patterns.
Keywords: Apriori, Inferencifiction, Frequent Pattern Discovery (FPD), Association Rule mining, Inference Based Pattern Discovery.
Keywords: Apriori, Inferencifiction, Frequent Pattern Discovery (FPD), Association Rule mining, Inference Based Pattern Discovery.
How to Cite:
[1] RUCHI GUPTA, POOJA SAHARAN Assistant Professor, CSE Dept, ABES Engineering College / Mahamaya Technical University, Ghaziabad, U.P, India, âA Speculative Study of Apriori with Inferencifiction(SSAI),â International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.