Matches in SemOpenAlex for { <https://semopenalex.org/work/W2800164495> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2800164495 abstract "In quantitative biology, discovering a class when presented with a large bimolecular dataset poses a big problem. However, ensemble learning approach has been helpful in various complex areas of decision-making. So, in this paper, we propose a cluster-based ensemble learner called adaptive cluster-based ensemble learner (ACEL) which incorporates the prior knowledge of the datasets into the cluster ensemble framework. ACEL computes the cluster boundaries using three diverse clustering algorithms to obtain clusters for classification decision. ACEL learns by transforming the obtained clusters into rules and performing adaptive rule tuning to optimize the classification decision. The cluster-based classification results are then processed using majority voting algorithm. The proposed approach is compared with other supervised benchmark algorithms using seven problems from the field of biology. The experiments performed on benchmark datasets show that ACEL works effectively in classifying datasets." @default.
- W2800164495 created "2018-05-17" @default.
- W2800164495 creator A5061394644 @default.
- W2800164495 creator A5063708298 @default.
- W2800164495 date "2018-01-01" @default.
- W2800164495 modified "2023-09-27" @default.
- W2800164495 title "An Adaptive Cluster-Based Ensemble Learner for Computational Biology" @default.
- W2800164495 cites W1987839426 @default.
- W2800164495 cites W2011430131 @default.
- W2800164495 cites W2016648380 @default.
- W2800164495 cites W2069928811 @default.
- W2800164495 cites W2105809105 @default.
- W2800164495 cites W2107208924 @default.
- W2800164495 cites W2110101779 @default.
- W2800164495 cites W2126297944 @default.
- W2800164495 cites W2157124852 @default.
- W2800164495 cites W2167917621 @default.
- W2800164495 cites W2262682506 @default.
- W2800164495 cites W2271258280 @default.
- W2800164495 cites W2604978582 @default.
- W2800164495 cites W2912934387 @default.
- W2800164495 doi "https://doi.org/10.1007/978-981-10-8237-5_56" @default.
- W2800164495 hasPublicationYear "2018" @default.
- W2800164495 type Work @default.
- W2800164495 sameAs 2800164495 @default.
- W2800164495 citedByCount "0" @default.
- W2800164495 crossrefType "book-chapter" @default.
- W2800164495 hasAuthorship W2800164495A5061394644 @default.
- W2800164495 hasAuthorship W2800164495A5063708298 @default.
- W2800164495 hasConcept C119857082 @default.
- W2800164495 hasConcept C124101348 @default.
- W2800164495 hasConcept C13280743 @default.
- W2800164495 hasConcept C153668964 @default.
- W2800164495 hasConcept C154945302 @default.
- W2800164495 hasConcept C164866538 @default.
- W2800164495 hasConcept C185798385 @default.
- W2800164495 hasConcept C199360897 @default.
- W2800164495 hasConcept C202444582 @default.
- W2800164495 hasConcept C205649164 @default.
- W2800164495 hasConcept C2777212361 @default.
- W2800164495 hasConcept C33923547 @default.
- W2800164495 hasConcept C41008148 @default.
- W2800164495 hasConcept C45942800 @default.
- W2800164495 hasConcept C73555534 @default.
- W2800164495 hasConcept C9652623 @default.
- W2800164495 hasConceptScore W2800164495C119857082 @default.
- W2800164495 hasConceptScore W2800164495C124101348 @default.
- W2800164495 hasConceptScore W2800164495C13280743 @default.
- W2800164495 hasConceptScore W2800164495C153668964 @default.
- W2800164495 hasConceptScore W2800164495C154945302 @default.
- W2800164495 hasConceptScore W2800164495C164866538 @default.
- W2800164495 hasConceptScore W2800164495C185798385 @default.
- W2800164495 hasConceptScore W2800164495C199360897 @default.
- W2800164495 hasConceptScore W2800164495C202444582 @default.
- W2800164495 hasConceptScore W2800164495C205649164 @default.
- W2800164495 hasConceptScore W2800164495C2777212361 @default.
- W2800164495 hasConceptScore W2800164495C33923547 @default.
- W2800164495 hasConceptScore W2800164495C41008148 @default.
- W2800164495 hasConceptScore W2800164495C45942800 @default.
- W2800164495 hasConceptScore W2800164495C73555534 @default.
- W2800164495 hasConceptScore W2800164495C9652623 @default.
- W2800164495 hasLocation W28001644951 @default.
- W2800164495 hasOpenAccess W2800164495 @default.
- W2800164495 hasPrimaryLocation W28001644951 @default.
- W2800164495 hasRelatedWork W1521283288 @default.
- W2800164495 hasRelatedWork W193592184 @default.
- W2800164495 hasRelatedWork W2096100960 @default.
- W2800164495 hasRelatedWork W2130888072 @default.
- W2800164495 hasRelatedWork W2134796596 @default.
- W2800164495 hasRelatedWork W2135861626 @default.
- W2800164495 hasRelatedWork W2148730077 @default.
- W2800164495 hasRelatedWork W2334625475 @default.
- W2800164495 hasRelatedWork W2581344680 @default.
- W2800164495 hasRelatedWork W2622412490 @default.
- W2800164495 hasRelatedWork W2913849398 @default.
- W2800164495 hasRelatedWork W3015909781 @default.
- W2800164495 hasRelatedWork W3080556782 @default.
- W2800164495 hasRelatedWork W3118829708 @default.
- W2800164495 hasRelatedWork W3121117041 @default.
- W2800164495 hasRelatedWork W3163570135 @default.
- W2800164495 hasRelatedWork W3199244260 @default.
- W2800164495 hasRelatedWork W60613460 @default.
- W2800164495 hasRelatedWork W69724053 @default.
- W2800164495 hasRelatedWork W2107374133 @default.
- W2800164495 isParatext "false" @default.
- W2800164495 isRetracted "false" @default.
- W2800164495 magId "2800164495" @default.
- W2800164495 workType "book-chapter" @default.