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- W97705377 abstract "Local protein structures are a kind of pattern found in protein datasets. These patterns are shaped by forces of evolution. One can deduce useful details about unknown protein structures through a knowledge of local protein structures. This paper focuses on the correlation that exists between distribution of local protein structures and protein thermostability. It must be noted that thermostability is not a well understood phenomenon. We propose efficient techniques for enhancing the performance of FT-Apriori, a fault tolerant Apriori algorithm for association rule mining. The enhancement is brought about by incorporating a new data structure called index list. We apply this enhanced version of the algorithm for extracting local protein structures. We deploy the index lists along with a parallel version of the FT-Apriori. The resulting algorithm is the PFT-Apriori algorithm. Computer simulations show that the PFT-Apriori is very effective in dealing with practical data." @default.
- W97705377 created "2016-06-24" @default.
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- W97705377 date "2003-01-01" @default.
- W97705377 modified "2023-09-23" @default.
- W97705377 title "Efficient Fault Tolerant Apriori Algorithm for Discovering Association Rules among Local Protein Structures." @default.
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