Matches in SemOpenAlex for { <https://semopenalex.org/work/W2801492008> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2801492008 endingPage "12" @default.
- W2801492008 startingPage "1" @default.
- W2801492008 abstract "Abstract This study focuses on feature subset selection from high dimensionality databases and presents modification to the existing Random Subset Feature Selection (RSFS) algorithm for the random selection of feature subsets and for improving stability. A standard k-nearest-neighbor (kNN) classifier is used for classification. The RSFS algorithm is used for reducing the dimensionality of a data set by selecting useful novel features. It is based on the random forest algorithm. The current implementation suffers from poor dimensionality reduction and low stability when the database is very large. In this study, an attempt is made to improve the existing algorithm's performance for dimensionality reduction and increase its stability. The proposed algorithm was applied to scientific data to test its performance. With 10 fold cross-validation and modifying the algorithm classification accuracy is improved. The applications of the improved algorithm are presented and discussed in detail. From the results it is concluded that the improved algorithm is superior in reducing the dimensionality and improving the classification accuracy when used with a simple kNN classifier. The data sets are selected from public repository. The datasets are scientific in nature and mostly used in cancer detection. From the results it is concluded that the algorithm is highly recommended for dimensionality reduction while extracting relevant data from scientific datasets." @default.
- W2801492008 created "2018-05-17" @default.
- W2801492008 creator A5073365173 @default.
- W2801492008 creator A5088929190 @default.
- W2801492008 date "2018-07-01" @default.
- W2801492008 modified "2023-09-23" @default.
- W2801492008 title "Classification Performance Improvement Using Random Subset Feature Selection Algorithm for Data Mining" @default.
- W2801492008 cites W1493357981 @default.
- W2801492008 cites W1597826525 @default.
- W2801492008 cites W1993710936 @default.
- W2801492008 cites W2014915963 @default.
- W2801492008 cites W2017337590 @default.
- W2801492008 cites W2030122595 @default.
- W2801492008 cites W2038894244 @default.
- W2801492008 cites W2040884411 @default.
- W2801492008 cites W2042464628 @default.
- W2801492008 cites W2056168656 @default.
- W2801492008 cites W2062830115 @default.
- W2801492008 cites W2072026441 @default.
- W2801492008 cites W2074388642 @default.
- W2801492008 cites W2079177468 @default.
- W2801492008 cites W2084341220 @default.
- W2801492008 cites W2102148524 @default.
- W2801492008 cites W2118026371 @default.
- W2801492008 cites W2128728535 @default.
- W2801492008 cites W2131987814 @default.
- W2801492008 cites W2133462743 @default.
- W2801492008 cites W2138153039 @default.
- W2801492008 cites W2146739527 @default.
- W2801492008 cites W2149775297 @default.
- W2801492008 cites W2152825437 @default.
- W2801492008 cites W2154053567 @default.
- W2801492008 cites W2156647247 @default.
- W2801492008 cites W2159543062 @default.
- W2801492008 cites W2164117960 @default.
- W2801492008 cites W2167101736 @default.
- W2801492008 cites W2184638288 @default.
- W2801492008 cites W2522701101 @default.
- W2801492008 cites W2599451414 @default.
- W2801492008 cites W2742982601 @default.
- W2801492008 doi "https://doi.org/10.1016/j.bdr.2018.02.007" @default.
- W2801492008 hasPublicationYear "2018" @default.
- W2801492008 type Work @default.
- W2801492008 sameAs 2801492008 @default.
- W2801492008 citedByCount "16" @default.
- W2801492008 countsByYear W28014920082018 @default.
- W2801492008 countsByYear W28014920082019 @default.
- W2801492008 countsByYear W28014920082020 @default.
- W2801492008 countsByYear W28014920082021 @default.
- W2801492008 countsByYear W28014920082022 @default.
- W2801492008 crossrefType "journal-article" @default.
- W2801492008 hasAuthorship W2801492008A5073365173 @default.
- W2801492008 hasAuthorship W2801492008A5088929190 @default.
- W2801492008 hasConcept C11413529 @default.
- W2801492008 hasConcept C119857082 @default.
- W2801492008 hasConcept C124101348 @default.
- W2801492008 hasConcept C138885662 @default.
- W2801492008 hasConcept C148483581 @default.
- W2801492008 hasConcept C153180895 @default.
- W2801492008 hasConcept C154945302 @default.
- W2801492008 hasConcept C169258074 @default.
- W2801492008 hasConcept C2776401178 @default.
- W2801492008 hasConcept C41008148 @default.
- W2801492008 hasConcept C41895202 @default.
- W2801492008 hasConcept C75684735 @default.
- W2801492008 hasConcept C81917197 @default.
- W2801492008 hasConceptScore W2801492008C11413529 @default.
- W2801492008 hasConceptScore W2801492008C119857082 @default.
- W2801492008 hasConceptScore W2801492008C124101348 @default.
- W2801492008 hasConceptScore W2801492008C138885662 @default.
- W2801492008 hasConceptScore W2801492008C148483581 @default.
- W2801492008 hasConceptScore W2801492008C153180895 @default.
- W2801492008 hasConceptScore W2801492008C154945302 @default.
- W2801492008 hasConceptScore W2801492008C169258074 @default.
- W2801492008 hasConceptScore W2801492008C2776401178 @default.
- W2801492008 hasConceptScore W2801492008C41008148 @default.
- W2801492008 hasConceptScore W2801492008C41895202 @default.
- W2801492008 hasConceptScore W2801492008C75684735 @default.
- W2801492008 hasConceptScore W2801492008C81917197 @default.
- W2801492008 hasLocation W28014920081 @default.
- W2801492008 hasOpenAccess W2801492008 @default.
- W2801492008 hasPrimaryLocation W28014920081 @default.
- W2801492008 hasRelatedWork W2767419625 @default.
- W2801492008 hasRelatedWork W2973799232 @default.
- W2801492008 hasRelatedWork W3017044142 @default.
- W2801492008 hasRelatedWork W3116896278 @default.
- W2801492008 hasRelatedWork W3174196512 @default.
- W2801492008 hasRelatedWork W3210877509 @default.
- W2801492008 hasRelatedWork W3215669537 @default.
- W2801492008 hasRelatedWork W4212852473 @default.
- W2801492008 hasRelatedWork W4225360065 @default.
- W2801492008 hasRelatedWork W4226324856 @default.
- W2801492008 hasVolume "12" @default.
- W2801492008 isParatext "false" @default.
- W2801492008 isRetracted "false" @default.
- W2801492008 magId "2801492008" @default.
- W2801492008 workType "article" @default.