{"id":"https://openalex.org/W2996497560","doi":"https://doi.org/10.1109/snpd.2019.8935672","title":"Multi-label Classification Method Based on the Labeling-Importance Degree","display_name":"Multi-label Classification Method Based on the Labeling-Importance Degree","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2996497560","doi":"https://doi.org/10.1109/snpd.2019.8935672","mag":"2996497560"},"language":"en","primary_location":{"id":"doi:10.1109/snpd.2019.8935672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2019.8935672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5101839929","display_name":"Ying Zhong","orcid":"https://orcid.org/0000-0003-4916-7330"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Zhong","raw_affiliation_strings":["College of Computer and Information Engineering Xiamen University of Technology Xiamen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering Xiamen University of Technology Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084382806","display_name":"Ming Xu","orcid":"https://orcid.org/0000-0002-8849-9656"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xu","raw_affiliation_strings":["College of Computer and Information Engineering Xiamen University of Technology Xiamen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering Xiamen University of Technology Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058651829","display_name":"Wei Weng","orcid":"https://orcid.org/0000-0002-8484-9065"},"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":"Weng Wei","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073767070","display_name":"Zhi-cai HUANG","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicai Huang","raw_affiliation_strings":["College of Computer and Information Engineering Xiamen University of Technology Xiamen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering Xiamen University of Technology Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100441099","display_name":"Lei Xiao","orcid":"https://orcid.org/0000-0003-0307-6206"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xiao","raw_affiliation_strings":["College of Computer and Information Engineering Xiamen University of Technology Xiamen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering Xiamen University of Technology Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101839929"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16796587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9884999990463257,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.987500011920929,"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/computer-science","display_name":"Computer science","score":0.7221113443374634},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.7023853659629822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6077563762664795},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5658182501792908},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5580278038978577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5386355519294739},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5242588520050049},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5052674412727356},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.49676042795181274},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4670865535736084},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.4425026476383209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40439581871032715},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3789004683494568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24763938784599304},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1566717028617859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221113443374634},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.7023853659629822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6077563762664795},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5658182501792908},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5580278038978577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5386355519294739},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5242588520050049},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5052674412727356},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.49676042795181274},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4670865535736084},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.4425026476383209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40439581871032715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3789004683494568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24763938784599304},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1566717028617859},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd.2019.8935672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2019.8935672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W137009209","https://openalex.org/W141859069","https://openalex.org/W142187185","https://openalex.org/W1045349118","https://openalex.org/W1240771541","https://openalex.org/W1549412372","https://openalex.org/W1585473864","https://openalex.org/W1638081485","https://openalex.org/W1666447063","https://openalex.org/W1753402186","https://openalex.org/W1970696760","https://openalex.org/W1998839399","https://openalex.org/W1999954155","https://openalex.org/W2002830978","https://openalex.org/W2029517229","https://openalex.org/W2029970906","https://openalex.org/W2035055162","https://openalex.org/W2052684427","https://openalex.org/W2053463056","https://openalex.org/W2054855770","https://openalex.org/W2073669694","https://openalex.org/W2085944479","https://openalex.org/W2090630554","https://openalex.org/W2093238926","https://openalex.org/W2102705755","https://openalex.org/W2107372416","https://openalex.org/W2114281298","https://openalex.org/W2114315281","https://openalex.org/W2117109360","https://openalex.org/W2118712128","https://openalex.org/W2119466907","https://openalex.org/W2124982040","https://openalex.org/W2128406786","https://openalex.org/W2133223948","https://openalex.org/W2138290126","https://openalex.org/W2146012283","https://openalex.org/W2154053567","https://openalex.org/W2154648857","https://openalex.org/W2155440340","https://openalex.org/W2156935079","https://openalex.org/W2161824996","https://openalex.org/W2165766797","https://openalex.org/W2166912588","https://openalex.org/W2191800066","https://openalex.org/W2219830225","https://openalex.org/W2241072627","https://openalex.org/W2242753553","https://openalex.org/W4232706428","https://openalex.org/W6643311173","https://openalex.org/W6677758222","https://openalex.org/W6683944004","https://openalex.org/W6689978660","https://openalex.org/W6690388309"],"related_works":["https://openalex.org/W2184452548","https://openalex.org/W4376528628","https://openalex.org/W2964297678","https://openalex.org/W4205999209","https://openalex.org/W2510206144","https://openalex.org/W2003032988","https://openalex.org/W2232456953","https://openalex.org/W4281776617","https://openalex.org/W2601792118","https://openalex.org/W2153146799"],"abstract_inverted_index":{"The":[0,129],"task":[1],"of":[2,18,29,34,64,76,95,117,132],"multi-label":[3,19,37],"classification":[4,38,127],"is":[5,63,78,119,136],"to":[6,80],"predict":[7],"multiple":[8],"possible":[9],"labels":[10],"for":[11,67,85,121],"the":[12,16,82,93,109],"unseen":[13],"instance.":[14],"Currently":[15],"prevalence":[17],"data":[20],"in":[21,106],"daily":[22],"life":[23],"has":[24],"stirred":[25],"up":[26],"a":[27,113],"spree":[28],"research":[30],"activities.":[31],"But":[32],"most":[33],"those":[35],"established":[36],"methods":[39,54],"mainly":[40],"focus":[41],"on":[42,71],"such":[43],"issues":[44],"as":[45],"class":[46],"imbalance,":[47],"label":[48,123],"relations":[49],"and":[50,97],"dimension":[51],"compression.":[52],"These":[53],"usually":[55],"have":[56],"an":[57,73],"untenable":[58],"hypothesis":[59],"that":[60,104],"each":[61,100,122],"instance":[62],"equal":[65],"importance":[66],"all":[68,86],"labels,":[69],"based":[70],"which":[72],"identical":[74],"set":[75,116],"instances":[77,118],"used":[79],"establish":[81],"learning":[83],"model":[84],"labels.":[87],"In":[88],"this":[89,133],"paper":[90],"we":[91],"introduce":[92],"concept":[94],"labeling-importance":[96],"work":[98],"out":[99],"instance's":[101],"labeling-important":[102],"degrees":[103],"are":[105],"line":[107],"with":[108],"polynomial":[110],"distribution.":[111],"Afterwards,":[112],"relatively":[114],"important":[115],"selected":[120],"before":[124],"establishing":[125],"its":[126],"model.":[128],"superior":[130],"performance":[131],"proposed":[134],"method":[135],"validated":[137],"by":[138],"comprehensive":[139],"experiments.":[140]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
