{"id":"https://openalex.org/W2783125572","doi":"https://doi.org/10.1109/iske.2017.8258842","title":"Margin based permutation variable importance: A stable importance measure for random forest","display_name":"Margin based permutation variable importance: A stable importance measure for random forest","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783125572","doi":"https://doi.org/10.1109/iske.2017.8258842","mag":"2783125572"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2017.8258842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006806882","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0001-6861-9596"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, Fujian Province"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, Fujian Province","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022783873","display_name":"Piao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Piao","raw_affiliation_strings":["School of software, Xiamen University, Xiamen, Fujian Province"],"affiliations":[{"raw_affiliation_string":"School of software, Xiamen University, Xiamen, Fujian Province","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085904657","display_name":"Yongxuan Lai","orcid":"https://orcid.org/0000-0002-2883-0781"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxuan Lai","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, Fujian Province"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, Fujian Province","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100383834","display_name":"Pei Liu","orcid":"https://orcid.org/0000-0003-1440-8851"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Pei","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, Fujian Province"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, Fujian Province","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006806882"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.15793451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9373000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.8014731407165527},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.7867116928100586},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7787843942642212},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7147645354270935},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6937844157218933},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6839344501495361},{"id":"https://openalex.org/keywords/random-permutation","display_name":"Random permutation","score":0.6474761366844177},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.545758843421936},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5434099435806274},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47747015953063965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4737328290939331},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4727550148963928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43201565742492676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4287773370742798},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.423200786113739},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4112812876701355},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36899352073669434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3490842580795288},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3403605818748474},{"id":"https://openalex.org/keywords/symmetric-group","display_name":"Symmetric group","score":0.08441606163978577}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8014731407165527},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.7867116928100586},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7787843942642212},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7147645354270935},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6937844157218933},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6839344501495361},{"id":"https://openalex.org/C200985842","wikidata":"https://www.wikidata.org/wiki/Q3375503","display_name":"Random permutation","level":3,"score":0.6474761366844177},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.545758843421936},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5434099435806274},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47747015953063965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4737328290939331},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4727550148963928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43201565742492676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4287773370742798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.423200786113739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4112812876701355},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36899352073669434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3490842580795288},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3403605818748474},{"id":"https://openalex.org/C128622974","wikidata":"https://www.wikidata.org/wiki/Q849512","display_name":"Symmetric group","level":2,"score":0.08441606163978577},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2017.8258842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W8870360","https://openalex.org/W1539593569","https://openalex.org/W1875061881","https://openalex.org/W2038894244","https://openalex.org/W2102636708","https://openalex.org/W2117004913","https://openalex.org/W2124005542","https://openalex.org/W2143481518","https://openalex.org/W2144327682","https://openalex.org/W2150904363","https://openalex.org/W2166537673","https://openalex.org/W2169281690","https://openalex.org/W2270712421","https://openalex.org/W2911964244","https://openalex.org/W6600367688"],"related_works":["https://openalex.org/W2184131469","https://openalex.org/W4321748008","https://openalex.org/W2074196947","https://openalex.org/W1887300513","https://openalex.org/W2797610470","https://openalex.org/W2120153268","https://openalex.org/W4297729179","https://openalex.org/W102744014","https://openalex.org/W1985197322","https://openalex.org/W4312051210"],"abstract_inverted_index":{"Permutation":[0],"based":[1,59,96],"variable":[2,52,61,97,123],"importance":[3,53,62,82,98,124],"measure":[4,99,125],"(VIM)":[5],"has":[6,21,45],"been":[7,22,46],"widely":[8],"used":[9,117],"in":[10,16,100],"various":[11],"research":[12],"fields.":[13],"For":[14],"example,":[15],"gene":[17],"expression":[18],"studies,":[19],"it":[20],"regarded":[23],"as":[24,118],"a":[25,30],"screening":[26],"tool":[27],"to":[28,48,79],"select":[29],"subset":[31],"of":[32,51,83,102],"relevant":[33],"genes":[34],"for":[35,126],"subsequent":[36],"analysis":[37],"or":[38],"better":[39],"predictive":[40,107],"performance.":[41],"However,":[42],"little":[43],"effort":[44],"devoted":[47],"the":[49,69,81,92,112],"stability":[50,105],"measures.":[54],"In":[55],"this":[56],"paper,":[57],"margin":[58,72],"permutation":[60,78,95],"measures":[63],"(VIM-MDs)":[64],"are":[65],"proposed,":[66],"which":[67,109],"utilize":[68],"similarity":[70],"between":[71],"distribution":[73],"before":[74],"and":[75,106,121],"after":[76],"random":[77,127],"evaluate":[80],"variables.":[84],"Experiments":[85],"on":[86],"six":[87],"benchmark":[88],"datasets":[89],"show":[90],"that":[91,111],"VIM-MDs":[93],"outperform":[94],"terms":[101],"both":[103],"global":[104],"accuracy,":[108],"indicates":[110],"proposed":[113],"method":[114],"could":[115],"be":[116],"an":[119],"effective":[120],"stable":[122],"forest.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}