Matches in SemOpenAlex for { <https://semopenalex.org/work/W2742224351> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2742224351 abstract "Data mining is the process of analyzing raw data from very large databases to turn them into useful and previously unknown information. This helps in finding out interesting patterns, trends and relationships within data. Association rule mining and bi-clustering are two very important data mining tasks for many application domains, especially in bio-informatics. FIST is one of the very few algorithms which extracts bases of association rules and bi-clustering conjointly in a single process. FIST algorithm is based on frequent closed itemsets framework and uses a suffix tree based data structure for efficiency. However, due to its sequential execution approach, the traditional FIST algorithm suffers from efficiency problems in terms of execution time for very large data sets with high dimensionality. Here, a parallelized version of FIST algorithm is proposed to improve the performance. In the new parallelize version of FIST algorithm (ParaFIST), a multi-threaded approach is taken to allow parallel processing of the suffix tree branches to achieve better execution time. We have used an example to demonstrate the correctness of the proposed algorithm." @default.
- W2742224351 created "2017-08-17" @default.
- W2742224351 creator A5056512425 @default.
- W2742224351 creator A5086469748 @default.
- W2742224351 creator A5089805103 @default.
- W2742224351 date "2016-12-01" @default.
- W2742224351 modified "2023-09-23" @default.
- W2742224351 title "A suffix tree based parallel approach for association rule mining and biclustering" @default.
- W2742224351 cites W143695046 @default.
- W2742224351 cites W1967810725 @default.
- W2742224351 cites W1992169319 @default.
- W2742224351 cites W2144544802 @default.
- W2742224351 cites W2153028052 @default.
- W2742224351 cites W2166559705 @default.
- W2742224351 cites W2412586022 @default.
- W2742224351 doi "https://doi.org/10.1109/iccece.2016.8009578" @default.
- W2742224351 hasPublicationYear "2016" @default.
- W2742224351 type Work @default.
- W2742224351 sameAs 2742224351 @default.
- W2742224351 citedByCount "0" @default.
- W2742224351 crossrefType "proceedings-article" @default.
- W2742224351 hasAuthorship W2742224351A5056512425 @default.
- W2742224351 hasAuthorship W2742224351A5086469748 @default.
- W2742224351 hasAuthorship W2742224351A5089805103 @default.
- W2742224351 hasConcept C104047586 @default.
- W2742224351 hasConcept C11413529 @default.
- W2742224351 hasConcept C124101348 @default.
- W2742224351 hasConcept C144817290 @default.
- W2742224351 hasConcept C154945302 @default.
- W2742224351 hasConcept C17212007 @default.
- W2742224351 hasConcept C193524817 @default.
- W2742224351 hasConcept C2780573568 @default.
- W2742224351 hasConcept C41008148 @default.
- W2742224351 hasConcept C42407357 @default.
- W2742224351 hasConcept C55439883 @default.
- W2742224351 hasConcept C73555534 @default.
- W2742224351 hasConcept C80444323 @default.
- W2742224351 hasConcept C86803240 @default.
- W2742224351 hasConceptScore W2742224351C104047586 @default.
- W2742224351 hasConceptScore W2742224351C11413529 @default.
- W2742224351 hasConceptScore W2742224351C124101348 @default.
- W2742224351 hasConceptScore W2742224351C144817290 @default.
- W2742224351 hasConceptScore W2742224351C154945302 @default.
- W2742224351 hasConceptScore W2742224351C17212007 @default.
- W2742224351 hasConceptScore W2742224351C193524817 @default.
- W2742224351 hasConceptScore W2742224351C2780573568 @default.
- W2742224351 hasConceptScore W2742224351C41008148 @default.
- W2742224351 hasConceptScore W2742224351C42407357 @default.
- W2742224351 hasConceptScore W2742224351C55439883 @default.
- W2742224351 hasConceptScore W2742224351C73555534 @default.
- W2742224351 hasConceptScore W2742224351C80444323 @default.
- W2742224351 hasConceptScore W2742224351C86803240 @default.
- W2742224351 hasLocation W27422243511 @default.
- W2742224351 hasOpenAccess W2742224351 @default.
- W2742224351 hasPrimaryLocation W27422243511 @default.
- W2742224351 hasRelatedWork W1789239680 @default.
- W2742224351 hasRelatedWork W191616179 @default.
- W2742224351 hasRelatedWork W1975131324 @default.
- W2742224351 hasRelatedWork W1990169388 @default.
- W2742224351 hasRelatedWork W2000388925 @default.
- W2742224351 hasRelatedWork W201811201 @default.
- W2742224351 hasRelatedWork W2118005024 @default.
- W2742224351 hasRelatedWork W2132709901 @default.
- W2742224351 hasRelatedWork W2249514631 @default.
- W2742224351 hasRelatedWork W2368438059 @default.
- W2742224351 hasRelatedWork W2374671226 @default.
- W2742224351 hasRelatedWork W2380135853 @default.
- W2742224351 hasRelatedWork W2610459537 @default.
- W2742224351 hasRelatedWork W2756734437 @default.
- W2742224351 hasRelatedWork W2891799017 @default.
- W2742224351 hasRelatedWork W2892095440 @default.
- W2742224351 hasRelatedWork W3081698174 @default.
- W2742224351 hasRelatedWork W634978463 @default.
- W2742224351 hasRelatedWork W961218355 @default.
- W2742224351 hasRelatedWork W2183678808 @default.
- W2742224351 isParatext "false" @default.
- W2742224351 isRetracted "false" @default.
- W2742224351 magId "2742224351" @default.
- W2742224351 workType "article" @default.