Arpna Shrivastava

Work place: SATI, Vidisha (M.P.), India

E-mail: arpna.10878@gmail.com

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Biography

Arpna Shrivastava is a research scholar in Barkatullah University, Bhopal (M.P.). She has done MCA from MD University, Rohtak and M.Sc. (CS) from Barkatullah University, Bhoapl. She has published various research papers in conferences and journals.

Author Articles
Comparison of New Multilevel Association Rule Algorithm with MAFIA

By Arpna Shrivastava R. C. Jain Ajay Kumar Shrivastava

DOI: https://doi.org/10.5815/ijisa.2014.11.10, Pub. Date: 8 Oct. 2014

Multilevel association rules provide the more precise and specific information. Apriori algorithm is an established algorithm for finding association rules. Fast Apriori implementation is modified to develop new algorithm for finding frequent item sets and mining multilevel association rules. MAFIA is another established algorithm for finding frequent item sets. In this paper, the performance of this new algorithm is analyzed and compared with MAFIA algorithm.

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