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Volume 15,Issue 1, Jan. - Feb. 2024
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Computational Model for Mining Frequent Sets in Large Databases
Anju Singh; R. C. Jain
In this paper we have addressed the problem that
we overcome in data mining applications i.e. mining frequent
patterns in large databases efficiently in less time with less
memory requirement. We are proposing a computational
model for finding frequent patterns in large datasets with less
number of scans .We have also proposed methodology which
would help in storing large database compactly and thus help
in improving the storage space requirement. Our model would
help in generating less patterns and thus improving the mining
time required in large databases. Our computational model is
an amalgamation of three approaches i.e. bottom up counting
inference and top down intersection method for generating the
frequent sets and tree based approach for storing the databases
compactly