Matches in SemOpenAlex for { <https://semopenalex.org/work/W2549481570> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2549481570 endingPage "312" @default.
- W2549481570 startingPage "300" @default.
- W2549481570 abstract "Recently, there has been a great attention to develop feature selection methods on the microarray high dimensional datasets. In this paper, an innovative method based on Maximum Relevancy and Minimum Redundancy (MRMR) approach by using Hesitant Fuzzy Sets (HFSs) is proposed to deal with feature subset selection; the method is called MRMR-HFS. MRMR-HFS is a novel filter-based feature selection algorithm that selects features by ensemble of ranking algorithms (as the measure of feature-class relevancy that must be maximized) and similarity measures (as the measure of feature-feature redundancy that must be minimized). The combination of ranking algorithms and similarity measures are done by using the fundamental concepts of information energies of HFSs. The proposed method has been inspired from Correlation based Feature Selection (CFS) within the sequential forward search in order to present a robust feature selection tool to solve high dimensional problems. To evaluate the effectiveness of the MRMR-HFS, several experimental results are carried out on nine well-known microarray high dimensional datasets. The obtained results are compared with those of other similar state-of-the-art algorithms including Correlation-based Feature Selection (CFS), Fast Correlation-based Filter (FCBF), Intract (INT), and Maximum Relevancy Minimum Redundancy (MRMR). The outcomes of comparison carried out via some non-parametric statistical tests confirm that the MRMR-HFS is effective for feature subset selection in high dimensional datasets in terms of accuracy, sensitivity, specificity, G-mean, and number of selected features." @default.
- W2549481570 created "2016-11-30" @default.
- W2549481570 creator A5048077935 @default.
- W2549481570 creator A5050745506 @default.
- W2549481570 date "2017-01-01" @default.
- W2549481570 modified "2023-10-01" @default.
- W2549481570 title "Ensemble of feature selection methods: A hesitant fuzzy sets approach" @default.
- W2549481570 cites W1535605987 @default.
- W2549481570 cites W1644937766 @default.
- W2549481570 cites W1731455596 @default.
- W2549481570 cites W1980564456 @default.
- W2549481570 cites W1980748255 @default.
- W2549481570 cites W1989540221 @default.
- W2549481570 cites W1997313699 @default.
- W2549481570 cites W2005330159 @default.
- W2549481570 cites W2048178552 @default.
- W2549481570 cites W2056168656 @default.
- W2549481570 cites W2068833644 @default.
- W2549481570 cites W2069321575 @default.
- W2549481570 cites W2069928051 @default.
- W2549481570 cites W2085770564 @default.
- W2549481570 cites W2091287769 @default.
- W2549481570 cites W2126930230 @default.
- W2549481570 cites W2128873747 @default.
- W2549481570 cites W2141826465 @default.
- W2549481570 cites W2142594886 @default.
- W2549481570 cites W2146713522 @default.
- W2549481570 cites W2154904851 @default.
- W2549481570 cites W2158137698 @default.
- W2549481570 cites W2161943337 @default.
- W2549481570 cites W2165466912 @default.
- W2549481570 cites W2167101736 @default.
- W2549481570 cites W2167940608 @default.
- W2549481570 cites W4211007335 @default.
- W2549481570 doi "https://doi.org/10.1016/j.asoc.2016.11.021" @default.
- W2549481570 hasPublicationYear "2017" @default.
- W2549481570 type Work @default.
- W2549481570 sameAs 2549481570 @default.
- W2549481570 citedByCount "75" @default.
- W2549481570 countsByYear W25494815702017 @default.
- W2549481570 countsByYear W25494815702018 @default.
- W2549481570 countsByYear W25494815702019 @default.
- W2549481570 countsByYear W25494815702020 @default.
- W2549481570 countsByYear W25494815702021 @default.
- W2549481570 countsByYear W25494815702022 @default.
- W2549481570 countsByYear W25494815702023 @default.
- W2549481570 crossrefType "journal-article" @default.
- W2549481570 hasAuthorship W2549481570A5048077935 @default.
- W2549481570 hasAuthorship W2549481570A5050745506 @default.
- W2549481570 hasConcept C103278499 @default.
- W2549481570 hasConcept C111919701 @default.
- W2549481570 hasConcept C115961682 @default.
- W2549481570 hasConcept C119857082 @default.
- W2549481570 hasConcept C124101348 @default.
- W2549481570 hasConcept C138885662 @default.
- W2549481570 hasConcept C148483581 @default.
- W2549481570 hasConcept C152124472 @default.
- W2549481570 hasConcept C153180895 @default.
- W2549481570 hasConcept C154945302 @default.
- W2549481570 hasConcept C16811321 @default.
- W2549481570 hasConcept C189430467 @default.
- W2549481570 hasConcept C2776401178 @default.
- W2549481570 hasConcept C41008148 @default.
- W2549481570 hasConcept C41895202 @default.
- W2549481570 hasConceptScore W2549481570C103278499 @default.
- W2549481570 hasConceptScore W2549481570C111919701 @default.
- W2549481570 hasConceptScore W2549481570C115961682 @default.
- W2549481570 hasConceptScore W2549481570C119857082 @default.
- W2549481570 hasConceptScore W2549481570C124101348 @default.
- W2549481570 hasConceptScore W2549481570C138885662 @default.
- W2549481570 hasConceptScore W2549481570C148483581 @default.
- W2549481570 hasConceptScore W2549481570C152124472 @default.
- W2549481570 hasConceptScore W2549481570C153180895 @default.
- W2549481570 hasConceptScore W2549481570C154945302 @default.
- W2549481570 hasConceptScore W2549481570C16811321 @default.
- W2549481570 hasConceptScore W2549481570C189430467 @default.
- W2549481570 hasConceptScore W2549481570C2776401178 @default.
- W2549481570 hasConceptScore W2549481570C41008148 @default.
- W2549481570 hasConceptScore W2549481570C41895202 @default.
- W2549481570 hasLocation W25494815701 @default.
- W2549481570 hasOpenAccess W2549481570 @default.
- W2549481570 hasPrimaryLocation W25494815701 @default.
- W2549481570 hasRelatedWork W2048841640 @default.
- W2549481570 hasRelatedWork W2188393372 @default.
- W2549481570 hasRelatedWork W2277968882 @default.
- W2549481570 hasRelatedWork W2286904880 @default.
- W2549481570 hasRelatedWork W2374344280 @default.
- W2549481570 hasRelatedWork W2384303144 @default.
- W2549481570 hasRelatedWork W2385233088 @default.
- W2549481570 hasRelatedWork W2392236103 @default.
- W2549481570 hasRelatedWork W2999462857 @default.
- W2549481570 hasRelatedWork W3012439478 @default.
- W2549481570 hasVolume "50" @default.
- W2549481570 isParatext "false" @default.
- W2549481570 isRetracted "false" @default.
- W2549481570 magId "2549481570" @default.
- W2549481570 workType "article" @default.