{"id":"https://openalex.org/W4322764721","doi":"https://doi.org/10.1145/3580219.3580234","title":"Interval quantile maximum mutual information feature selection algorithm","display_name":"Interval quantile maximum mutual information feature selection algorithm","publication_year":2023,"publication_date":"2023-01-28","ids":{"openalex":"https://openalex.org/W4322764721","doi":"https://doi.org/10.1145/3580219.3580234"},"language":"en","primary_location":{"id":"doi:10.1145/3580219.3580234","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580219.3580234","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580219.3580234","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on Control Engineering and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3580219.3580234","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068734991","display_name":"Ping Yang","orcid":"https://orcid.org/0000-0003-3309-3883"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Yang","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"raw_orcid":"https://orcid.org/0000-0003-3309-3883","affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016406836","display_name":"Bing Xiao","orcid":"https://orcid.org/0000-0002-5551-2084"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Xiao","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"raw_orcid":"https://orcid.org/0000-0002-5551-2084","affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051635360","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0003-4684-3938"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"raw_orcid":"https://orcid.org/0000-0003-4684-3938","affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031610968","display_name":"Liangliang Guo","orcid":"https://orcid.org/0000-0002-2705-6114"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liangliang Guo","raw_affiliation_strings":["Chief of the PLA an aviation brigade ammunition Brigade, China"],"raw_orcid":"https://orcid.org/0000-0002-2705-6114","affiliations":[{"raw_affiliation_string":"Chief of the PLA an aviation brigade ammunition Brigade, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01362304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/mutual-information","display_name":"Mutual information","score":0.9190576076507568},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7554051876068115},{"id":"https://openalex.org/keywords/conditional-mutual-information","display_name":"Conditional mutual information","score":0.6978243589401245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.634996771812439},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6318392157554626},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6254050731658936},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5903452038764954},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.5564951300621033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5510724186897278},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.5409234166145325},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5355553030967712},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5319643020629883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34572887420654297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25345784425735474},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.11429348587989807}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.9190576076507568},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7554051876068115},{"id":"https://openalex.org/C124805900","wikidata":"https://www.wikidata.org/wiki/Q5159269","display_name":"Conditional mutual information","level":3,"score":0.6978243589401245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.634996771812439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318392157554626},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6254050731658936},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5903452038764954},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.5564951300621033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5510724186897278},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.5409234166145325},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5355553030967712},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5319643020629883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34572887420654297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25345784425735474},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11429348587989807},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580219.3580234","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580219.3580234","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580219.3580234","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on Control Engineering and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3580219.3580234","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580219.3580234","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580219.3580234","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on Control Engineering and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3528179776","display_name":null,"funder_award_id":"61502522","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4322764721.pdf","grobid_xml":"https://content.openalex.org/works/W4322764721.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2143043751","https://openalex.org/W2149772057","https://openalex.org/W2154053567","https://openalex.org/W2570565373","https://openalex.org/W2767105247","https://openalex.org/W2806295587","https://openalex.org/W2934768696","https://openalex.org/W2999462857","https://openalex.org/W3134283265"],"related_works":["https://openalex.org/W3164528651","https://openalex.org/W4205619203","https://openalex.org/W2101924850","https://openalex.org/W4307206503","https://openalex.org/W2042378471","https://openalex.org/W1566319786","https://openalex.org/W2352513827","https://openalex.org/W2785601041","https://openalex.org/W4322764721","https://openalex.org/W2371481268"],"abstract_inverted_index":{"Feature":[0],"selection":[1,32,42,95],"is":[2,73,104,141,162],"an":[3],"essential":[4],"part":[5],"of":[6,40,50,79,89,117,129,136,159],"the":[7,29,38,48,80,87,114,126,134,137,139,157,160],"data":[8,25,167],"pre-processing":[9],"phase":[10],"after":[11],"obtaining":[12],"key":[13],"data,":[14,155],"and":[15,24,34,52,62,69,83,120,123,143,156],"fields":[16],"such":[17],"as":[18],"machine":[19],"learning,":[20],"natural":[21],"language":[22],"processing":[23],"mining":[26],"rely":[27],"on":[28,45,98,164],"model's":[30],"feature":[31,41,51,90,94],"results":[33],"classification":[35,77],"accuracy.":[36],"In":[37],"study":[39],"algorithms":[43],"based":[44,97],"information":[46,55,65,103,116,148],"theory,":[47],"problems":[49],"label":[53,121],"mutual":[54,60,64,102,115,147],"maximization,":[56],"minimum":[57],"redundancy,":[58],"joint":[59],"information,":[61],"conditional":[63],"have":[66],"been":[67],"analyzed":[68,144],"verified.":[70],"However,":[71],"there":[72],"still":[74],"a":[75,93],"weak":[76],"ability":[78],"optimal":[81],"subset":[82],"difficulty":[84],"in":[85,106],"quantifying":[86],"degree":[88,128],"redundancy.":[91],"Therefore,":[92],"method":[96,110,140,161],"interval":[99],"quantile":[100],"maximum":[101],"proposed":[105],"this":[107],"paper.":[108],"The":[109],"can":[111],"further":[112],"enhance":[113],"selected":[118,130],"features":[119],"values,":[122],"also":[124],"quantify":[125],"redundancy":[127],"features.":[131],"To":[132],"demonstrate":[133],"superiority":[135],"method,":[138],"compared":[142],"with":[145],"various":[146],"filtering":[149],"methods":[150],"applied":[151],"to":[152],"guided":[153],"bomb":[154],"effectiveness":[158],"verified":[163],"several":[165],"public":[166],"sets.":[168]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
