{"id":"https://openalex.org/W2027308928","doi":"https://doi.org/10.1145/2629474","title":"A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method","display_name":"A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method","publication_year":2014,"publication_date":"2014-10-09","ids":{"openalex":"https://openalex.org/W2027308928","doi":"https://doi.org/10.1145/2629474","mag":"2027308928"},"language":"en","primary_location":{"id":"doi:10.1145/2629474","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2629474","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5102889910","display_name":"Guangtao Wang","orcid":"https://orcid.org/0000-0003-2766-0917"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangtao Wang","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102831118","display_name":"Qinbao Song","orcid":"https://orcid.org/0000-0001-5374-9523"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinbao Song","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445969","display_name":"Xueying Zhang","orcid":"https://orcid.org/0000-0002-2035-0329"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Zhang","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100649575","display_name":"Kaiyuan Zhang","orcid":"https://orcid.org/0000-0002-8404-2528"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Zhang","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102889910"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":1.227,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.84331269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"1","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9979000091552734,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9764999747276306,"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/computer-science","display_name":"Computer science","score":0.7124244570732117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6606460809707642},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.645354151725769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6261141300201416},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6206579804420471},{"id":"https://openalex.org/keywords/weighted-majority-algorithm","display_name":"Weighted Majority Algorithm","score":0.5802897810935974},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5554940700531006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.542877733707428},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4908755421638489},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4885905683040619},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4777092933654785},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.23068901896476746},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.21173802018165588},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.0851736068725586},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.07175561785697937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124244570732117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6606460809707642},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.645354151725769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6261141300201416},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6206579804420471},{"id":"https://openalex.org/C95627357","wikidata":"https://www.wikidata.org/wiki/Q7979889","display_name":"Weighted Majority Algorithm","level":5,"score":0.5802897810935974},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5554940700531006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.542877733707428},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4908755421638489},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4885905683040619},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4777092933654785},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.23068901896476746},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.21173802018165588},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0851736068725586},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.07175561785697937},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2629474","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2629474","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1679237078","display_name":null,"funder_award_id":"61373046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W37798520","https://openalex.org/W54639073","https://openalex.org/W54887220","https://openalex.org/W55768394","https://openalex.org/W66588809","https://openalex.org/W78907429","https://openalex.org/W89608058","https://openalex.org/W98287544","https://openalex.org/W116375701","https://openalex.org/W126051717","https://openalex.org/W162897784","https://openalex.org/W171325868","https://openalex.org/W216283022","https://openalex.org/W363231474","https://openalex.org/W1488440450","https://openalex.org/W1495775210","https://openalex.org/W1496283916","https://openalex.org/W1502024067","https://openalex.org/W1504065369","https://openalex.org/W1511053376","https://openalex.org/W1517567737","https://openalex.org/W1519451279","https://openalex.org/W1524416683","https://openalex.org/W1535039099","https://openalex.org/W1539739406","https://openalex.org/W1551928278","https://openalex.org/W1555677953","https://openalex.org/W1576808520","https://openalex.org/W1584683538","https://openalex.org/W1589492330","https://openalex.org/W1638732406","https://openalex.org/W1721780562","https://openalex.org/W1753402186","https://openalex.org/W1783333813","https://openalex.org/W1870343589","https://openalex.org/W1953606363","https://openalex.org/W1969163824","https://openalex.org/W1974758710","https://openalex.org/W1975150482","https://openalex.org/W1983439863","https://openalex.org/W1985995090","https://openalex.org/W1992278063","https://openalex.org/W1994356124","https://openalex.org/W2008031590","https://openalex.org/W2010770252","https://openalex.org/W2012757283","https://openalex.org/W2023492421","https://openalex.org/W2036714085","https://openalex.org/W2037322594","https://openalex.org/W2038181716","https://openalex.org/W2052684427","https://openalex.org/W2053463056","https://openalex.org/W2089213632","https://openalex.org/W2091860924","https://openalex.org/W2102705755","https://openalex.org/W2107753812","https://openalex.org/W2108443914","https://openalex.org/W2110464191","https://openalex.org/W2112865076","https://openalex.org/W2116120550","https://openalex.org/W2118789407","https://openalex.org/W2122379760","https://openalex.org/W2125877832","https://openalex.org/W2132549764","https://openalex.org/W2140519248","https://openalex.org/W2142334564","https://openalex.org/W2143237130","https://openalex.org/W2145063378","https://openalex.org/W2145680191","https://openalex.org/W2146241755","https://openalex.org/W2156935079","https://openalex.org/W2157686535","https://openalex.org/W2160398503","https://openalex.org/W2163212577","https://openalex.org/W2164308541","https://openalex.org/W2166912588","https://openalex.org/W2167467747","https://openalex.org/W2169974402","https://openalex.org/W2287742292","https://openalex.org/W2531563875","https://openalex.org/W2809054435","https://openalex.org/W2912573428","https://openalex.org/W2912748147","https://openalex.org/W2913529121","https://openalex.org/W2997546679","https://openalex.org/W2999343259","https://openalex.org/W3015464002","https://openalex.org/W3140910462","https://openalex.org/W4230646247","https://openalex.org/W4241727697","https://openalex.org/W4252731897"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W2798835721","https://openalex.org/W2971071571","https://openalex.org/W2387658907","https://openalex.org/W2922169395","https://openalex.org/W2385796165","https://openalex.org/W25098770"],"abstract_inverted_index":{"As":[0],"more":[1,3],"and":[2,46,93,142,175,178],"classification":[4,16,56,165],"algorithms":[5,12,57,83,112],"continue":[6],"to":[7,13,41,64,97,104],"be":[8,110],"developed,":[9],"recommending":[10],"appropriate":[11,114],"a":[14,36,85,91,116,122,138],"given":[15,117],"problem":[17,118,141,145],"is":[18,72,102,130],"increasingly":[19],"important.":[20],"This":[21,101],"article":[22,89],"first":[23],"distinguishes":[24],"the":[25,43,51,55,59,65,75,79,99,105,134,144,147,154,194],"algorithm":[26,67,127,135,173],"recommendation":[27,68,128,136,158,201],"methods":[28,69],"by":[29,146],"two":[30,167],"dimensions:":[31],"(1)":[32],"meta-features,":[33],"which":[34,49,132],"are":[35,184],"set":[37],"of":[38,54,77,81,169,182,196],"measures":[39],"used":[40],"characterize":[42],"learning":[44,60,140,150,189],"problems,":[45],"(2)":[47],"meta-target,":[48],"represents":[50],"relative":[52],"performance":[53],"on":[58,186],"problem.":[61],"In":[62],"contrast":[63],"existing":[66],"whose":[70],"meta-target":[71],"usually":[73],"in":[74,119],"form":[76,96],"either":[78],"ranking":[80,174],"candidate":[82],"or":[84],"single":[86,176],"algorithm,":[87,177],"this":[88],"proposes":[90],"new":[92],"natural":[94],"multilabel":[95,124,139,149,156,199],"describe":[98],"meta-target.":[100],"due":[103],"fact":[106],"that":[107],"there":[108],"would":[109],"multiple":[111],"being":[113],"for":[115],"practice.":[120],"Furthermore,":[121],"novel":[123],"learning-based":[125,157,200],"generic":[126],"method":[129],"proposed,":[131],"views":[133],"as":[137,172],"solves":[143],"mature":[148],"algorithms.":[151],"To":[152],"evaluate":[153],"proposed":[155,198],"method,":[159],"extensive":[160],"experiments":[161],"with":[162],"13":[163],"well-known":[164],"algorithms,":[166],"kinds":[168,181],"meta-targets":[170],"such":[171],"five":[179],"different":[180],"meta-features":[183],"conducted":[185],"1,090":[187],"benchmark":[188],"problems.":[190],"The":[191],"results":[192],"show":[193],"effectiveness":[195],"our":[197],"method.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
