Work place: SATI, Vidisha (M.P.), India
E-mail: arpna.10878@gmail.com
Website:
Research Interests:
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.
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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