{"id":"https://openalex.org/W4283589974","doi":"https://doi.org/10.1145/3516368","title":"Incremental Feature Spaces Learning with Label Scarcity","display_name":"Incremental Feature Spaces Learning with Label Scarcity","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4283589974","doi":"https://doi.org/10.1145/3516368"},"language":"en","primary_location":{"id":"doi:10.1145/3516368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3516368","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/A5102025884","display_name":"Shilin Gu","orcid":"https://orcid.org/0000-0003-1681-5856"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilin Gu","raw_affiliation_strings":["The College of Liberal Arts and Science, National University of Defense Technology, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-1681-5856","affiliations":[{"raw_affiliation_string":"The College of Liberal Arts and Science, National University of Defense Technology, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003563112","display_name":"Yuhua Qian","orcid":"https://orcid.org/0000-0001-6772-4247"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Qian","raw_affiliation_strings":["The Institute of Big Data Science and Industry, Shanxi University, Shanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6772-4247","affiliations":[{"raw_affiliation_string":"The Institute of Big Data Science and Industry, Shanxi University, Shanxi, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091529433","display_name":"Chenping Hou","orcid":"https://orcid.org/0000-0002-9335-0469"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenping Hou","raw_affiliation_strings":["The College of Liberal Arts and Science, National University of Defense Technology, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-9335-0469","affiliations":[{"raw_affiliation_string":"The College of Liberal Arts and Science, National University of Defense Technology, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0497,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80133643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"6","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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":0.9908000230789185,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9853000044822693,"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":0.7891103029251099},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7131616473197937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6320288777351379},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.598615825176239},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5853694677352905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5689388513565063},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5375307202339172},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5155441761016846},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4795908033847809},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.441755086183548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7891103029251099},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7131616473197937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6320288777351379},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.598615825176239},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5853694677352905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5689388513565063},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5375307202339172},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5155441761016846},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4795908033847809},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.441755086183548},{"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:10.1145/3516368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3516368","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/G6827316075","display_name":null,"funder_award_id":"61922087, 61906201, and 62006238","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":34,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1593736449","https://openalex.org/W1603138887","https://openalex.org/W1752277144","https://openalex.org/W2080021732","https://openalex.org/W2104290444","https://openalex.org/W2152929147","https://openalex.org/W2153338628","https://openalex.org/W2197872593","https://openalex.org/W2280446378","https://openalex.org/W2326253368","https://openalex.org/W2338948909","https://openalex.org/W2346780474","https://openalex.org/W2743703549","https://openalex.org/W2768862435","https://openalex.org/W2808856927","https://openalex.org/W2810299612","https://openalex.org/W2912083425","https://openalex.org/W2963311299","https://openalex.org/W2965718579","https://openalex.org/W2997701990","https://openalex.org/W3007092794","https://openalex.org/W3009009611","https://openalex.org/W3014146993","https://openalex.org/W3014245600","https://openalex.org/W3092051759","https://openalex.org/W3093074257","https://openalex.org/W3093978682","https://openalex.org/W3120421331","https://openalex.org/W3154726827","https://openalex.org/W3177001585","https://openalex.org/W6676369140","https://openalex.org/W6683584131","https://openalex.org/W6784392621"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2017776670","https://openalex.org/W2952760143","https://openalex.org/W2347897961","https://openalex.org/W2979236518","https://openalex.org/W2358318464","https://openalex.org/W2340870721","https://openalex.org/W3091955004"],"abstract_inverted_index":{"Recently,":[0],"learning":[1,102],"and":[2,25,110,130,142,168,179],"mining":[3],"from":[4],"data":[5,16,89,178],"streams":[6,90],"with":[7,78,84,92,116],"incremental":[8,74],"feature":[9,26,144],"spaces":[10,76],"have":[11],"attracted":[12],"extensive":[13],"attention,":[14],"where":[15],"may":[17],"dynamically":[18],"expand":[19],"over":[20],"time":[21],"in":[22,42,62,139],"both":[23],"volume":[24],"dimensions.":[27],"Existing":[28],"approaches":[29],"usually":[30],"assume":[31],"that":[32],"the":[33,50,57,64,98,121,125,136,140,149,163,185],"incoming":[34],"instances":[35,106],"can":[36],"always":[37],"receive":[38],"true":[39,51],"labels.":[40],"However,":[41],"many":[43],"real-world":[44,180],"applications,":[45],"e.g.,":[46],"environment":[47],"monitoring,":[48],"acquiring":[49],"labels":[52],"is":[53],"costly":[54],"due":[55],"to":[56,103,107,133,153,182],"need":[58],"of":[59,166,187],"human":[60],"effort":[61],"annotating":[63],"data.":[65],"To":[66],"tackle":[67],"this":[68],"problem,":[69],"we":[70,95,123,147,173],"propose":[71],"a":[72,155],"novel":[73],"Feature":[75],"Learning":[77],"Label":[79],"Scarcity":[80],"(FLLS)":[81],"algorithm,":[82],"together":[83],"its":[85,169],"two":[86,170],"variants.":[87,171],"When":[88],"arrive":[91],"augmented":[93,143],"features,":[94],"first":[96],"leverage":[97],"margin-based":[99],"online":[100,126],"active":[101],"select":[104],"valuable":[105],"be":[108],"labeled":[109],"thus":[111],"build":[112,154],"superior":[113],"predictive":[114],"models":[115],"minimal":[117],"supervision.":[118],"After":[119],"receiving":[120],"labels,":[122],"combine":[124],"passive-aggressive":[127],"update":[128,135],"rule":[129],"margin-maximum":[131],"principle":[132],"jointly":[134],"dynamic":[137],"classifier":[138],"shared":[141],"space.":[145],"Finally,":[146],"use":[148],"projected":[150],"truncation":[151],"technique":[152],"sparse":[156],"but":[157],"efficient":[158],"model.":[159],"We":[160],"theoretically":[161],"analyze":[162],"error":[164],"bounds":[165],"FLLS":[167],"Also,":[172],"conduct":[174],"experiments":[175],"on":[176],"synthetic":[177],"applications":[181],"further":[183],"validate":[184],"effectiveness":[186],"our":[188],"proposed":[189],"algorithms.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
