{"id":"https://openalex.org/W2903136297","doi":"https://doi.org/10.3233/978-1-61499-927-0-381","title":"Cost-Sensitive Multi-Label Feature Selection Algorithm Based on Positive Approximation","display_name":"Cost-Sensitive Multi-Label Feature Selection Algorithm Based on Positive Approximation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2903136297","doi":"https://doi.org/10.3233/978-1-61499-927-0-381","mag":"2903136297"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-927-0-381","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-927-0-381","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5116338551","display_name":"Wu Binglong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu Binglong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Qian Wenbin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian Wenbin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Huang Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang Qin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116338552","display_name":"Yu Sudan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Sudan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17893631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.8162999749183655,"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"}},"topics":[{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.8162999749183655,"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"}},{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.7710000276565552,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.7634000182151794,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7363616824150085},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6453862190246582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5566229224205017},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5393983721733093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5083770155906677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.461825430393219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4240506887435913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3236846327781677}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7363616824150085},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6453862190246582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5566229224205017},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5393983721733093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5083770155906677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.461825430393219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4240506887435913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3236846327781677},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-927-0-381","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-927-0-381","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"In":[0,46,63],"data":[1],"mining":[2],"and":[3,78,90,96],"machine":[4],"learning":[5],"applications,":[6],"the":[7,11,20,39,67,75,79,83,94,99],"cost":[8,81],"of":[9,41,74,85,98],"collecting":[10],"features":[12],"have":[13],"to":[14],"be":[15],"taken":[16],"into":[17],"account":[18],"in":[19,30],"feature":[21,25,44,57,68,80,86],"selection.":[22,45],"The":[23],"cost-sensitive":[24,42,55],"selection":[26,58],"is":[27,34,70],"widely":[28],"discussed":[29],"single-label.":[31],"However,":[32],"there":[33],"little":[35],"theoretical":[36],"analysis":[37,89],"on":[38,60,82,104],"issue":[40],"multi-label":[43,56,107],"coping":[47],"with":[48],"this":[49,64],"problem,":[50],"we":[51],"propose":[52],"a":[53],"novel":[54],"based":[59],"positive":[61,76],"approximation.":[62],"proposed":[65,100],"model,":[66],"significance":[69],"redefined":[71],"by":[72],"combination":[73],"approximation":[77],"basis":[84],"cores.":[87],"Theoretical":[88],"experimental":[91],"results":[92],"demonstrate":[93],"effectiveness":[95],"efficiency":[97],"algorithm":[101],"thoroughly":[102],"performed":[103],"three":[105],"real":[106],"datasets.":[108]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}