A Survey on Efficient Algorithm for Mining Top-k High Utility Itemsets
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 9
Abstract
High utility thing sets (HUIs) mining is a rising subject in information mining, which alludes to finding all thing sets having an utility meeting a client determined least of utility edge min_util. Not with standing, setting min_util suitably is a troublesome issue for clients. As a rule, finding a fitting least of utility edge by experimentation is a monotonous procedure for clients. In the event that min_util low, an excessive number of HUIs produced, which may bring about the mining procedure to be exceptionally wasteful. Then again, if min_util is set high, so no HUIs will found. Therefore, we address this above issues by proposing the other structure for top-k high utility mining, where k is the number to be covered of HUI mining. Two sorts of proficient calculations named TKU (mining Top-K Utility sets) and TKO (mining Top-K utility sets in one phase) are propose for the mining such thing sets without set the min_util. We give an auxiliary examination of the two calculations with talks on their preferences and restrictions..
Authors and Affiliations
Neha Goliwar, Prof. Mrs. R. A. Patankar
Keywords
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- EP ID EP392183
- DOI 10.9790/9622-0709037679.
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