{"id":"https://openalex.org/W4281912926","doi":"https://doi.org/10.1145/3514221.3517836","title":"Camel: Managing Data for Efficient Stream Learning","display_name":"Camel: Managing Data for Efficient Stream Learning","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4281912926","doi":"https://doi.org/10.1145/3514221.3517836"},"language":"en","primary_location":{"id":"doi:10.1145/3514221.3517836","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3517836","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Management of Data","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/A5100346332","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-2258-265X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yiming Li","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053338416","display_name":"Yanyan Shen","orcid":"https://orcid.org/0000-0001-8364-3674"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Shen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100346332"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.6697,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85924748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1271","last_page":"1285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","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/T12761","display_name":"Data Stream Mining Techniques","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"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":0.9955000281333923,"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":0.8096510171890259},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6294970512390137},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.5686095356941223},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.45248016715049744},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.4322398602962494},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42229196429252625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4213930070400238},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4210265874862671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37148594856262207},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.22164687514305115},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1114107072353363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09135448932647705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8096510171890259},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6294970512390137},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.5686095356941223},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.45248016715049744},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.4322398602962494},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42229196429252625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4213930070400238},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4210265874862671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37148594856262207},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.22164687514305115},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1114107072353363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09135448932647705},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":2,"locations":[{"id":"doi:10.1145/3514221.3517836","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514221.3517836","pdf_url":null,"source":{"id":"https://openalex.org/S4363608845","display_name":"Proceedings of the 2022 International Conference on Management of Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-118217","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0730-8078&rft.volume=&rft.issue=&rft.date=2022&rft.spage=1271&rft.aulast=Li&rft.aufirst=&rft.atitle=Camel%3A+Managing+Data+for+Efficient+Stream+Learning&rft.title=Proceedings+of+the+ACM+SIGMOD+International+Conference+on+Management+of+Data","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1283425618","display_name":null,"funder_award_id":"2018AAA0101100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1482186473","https://openalex.org/W1680189815","https://openalex.org/W1842094663","https://openalex.org/W1898824936","https://openalex.org/W1981773323","https://openalex.org/W1992065791","https://openalex.org/W2007448134","https://openalex.org/W2034466462","https://openalex.org/W2045964207","https://openalex.org/W2112452856","https://openalex.org/W2122044299","https://openalex.org/W2150593711","https://openalex.org/W2296073425","https://openalex.org/W2554863749","https://openalex.org/W2559655401","https://openalex.org/W2741269719","https://openalex.org/W2755420655","https://openalex.org/W2772269132","https://openalex.org/W2794302998","https://openalex.org/W2799200478","https://openalex.org/W2804175194","https://openalex.org/W2908060378","https://openalex.org/W2968596670","https://openalex.org/W2971243175","https://openalex.org/W2982701845","https://openalex.org/W3004269604","https://openalex.org/W3012561096","https://openalex.org/W3035086011","https://openalex.org/W3092041085","https://openalex.org/W3098031065","https://openalex.org/W3099560537","https://openalex.org/W3100923768","https://openalex.org/W3124367822","https://openalex.org/W4243943037","https://openalex.org/W4294620201","https://openalex.org/W4294635920","https://openalex.org/W6692608732"],"related_works":["https://openalex.org/W1595919516","https://openalex.org/W2945022594","https://openalex.org/W2966531942","https://openalex.org/W2194604332","https://openalex.org/W4379619607","https://openalex.org/W4386185001","https://openalex.org/W4236048596","https://openalex.org/W2922450688","https://openalex.org/W1989453388","https://openalex.org/W3141561286"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"applications":[2],"rely":[3],"on":[4,110,172,187],"predictive":[5],"models":[6,13],"that":[7,51],"are":[8,14],"incrementally":[9],"learned":[10],"online.":[11],"Specifically,":[12],"updated":[15],"with":[16,87,167],"a":[17,26,49,74,85,101,120,138,164,168],"single":[18],"pass":[19],"over":[20],"continuously":[21],"arriving":[22],"data":[23,41,60,79,128,134,189],"batches":[24],"in":[25,135],"typical":[27],"stream":[28],"learning":[29],"framework.":[30],"However,":[31],"this":[32,94],"framework":[33],"has":[34],"three":[35],"shortcomings:":[36],"high":[37],"training":[38],"cost,":[39],"low":[40],"effectiveness,":[42],"and":[43,65,152],"catastrophic":[44,116],"forgetting.":[45],"We":[46],"describe":[47],"Camel,":[48],"system":[50],"addresses":[52],"the":[53,111,143,150,182],"above":[54],"issues.":[55],"Camel":[56,72,118,131],"includes":[57],"two":[58],"independent":[59],"management":[61],"components:":[62],"coreset":[63,75,86,98,159],"selection":[64,99,160],"buffer":[66,121,136,177],"update.":[67,83],"To":[68,92,114],"accelerate":[69],"model":[70,82],"training,":[71],"selects":[73],"from":[76],"each":[77],"streaming":[78],"batch":[80],"for":[81,185],"Selecting":[84],"worst-case":[88],"guarantees":[89],"is":[90],"NP-hard.":[91],"solve":[93],"problem,":[95],"we":[96],"reformulate":[97],"as":[100,126],"submodular":[102],"maximization":[103],"problem":[104],"by":[105],"deriving":[106],"an":[107],"upper":[108],"bound":[109],"objective":[112],"function.":[113],"mitigate":[115],"forgetting,":[117],"maintains":[119],"of":[122,154],"past":[123],"representative":[124],"samples":[125],"new":[127],"arrive.":[129],"Moreover,":[130],"quantizes":[132],"numerical":[133],"via":[137],"quantile":[139],"sketch":[140],"to":[141],"reduce":[142],"memory":[144],"footprint.":[145],"Finally,":[146],"extensive":[147],"experiments":[148],"validate":[149],"effectiveness":[151],"efficiency":[153],"Camel.":[155],"In":[156],"particular,":[157],"our":[158,176],"algorithm":[161],"can":[162,180],"achieve":[163],"linear":[165],"speedup":[166],"marginal":[169],"accuracy":[170],"loss":[171],"redundant":[173],"datasets.":[174],"Furthermore,":[175],"update":[178],"algorithms":[179],"outperform":[181],"state-of-the-art":[183],"methods":[184],"anti-forgetting":[186],"various":[188],"distributions.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}