{"id":"https://openalex.org/W4391113956","doi":"https://doi.org/10.1109/bigdata59044.2023.10386362","title":"AutoClass: AutoML for Data Stream Classification","display_name":"AutoClass: AutoML for Data Stream Classification","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391113956","doi":"https://doi.org/10.1109/bigdata59044.2023.10386362"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-04338637v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074483795","display_name":"Maroua Bahri","orcid":"https://orcid.org/0000-0002-7420-7464"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maroua Bahri","raw_affiliation_strings":["Inria Paris,Paris,France","Inria Paris, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Paris,Paris,France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Inria Paris, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050244898","display_name":"Nikolaos Georgantas","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nikolaos Georgantas","raw_affiliation_strings":["Inria Paris,Paris,France","Inria Paris, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Paris,Paris,France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Inria Paris, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":0.6452,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76287014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2658","last_page":"2666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":1.0,"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":0.9847999811172485,"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":0.9819999933242798,"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":0.799735426902771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6817975044250488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6815202236175537},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6062514781951904},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5310633182525635},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5263867378234863},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5212821960449219},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4992506504058838},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.48651522397994995},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.48298728466033936},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.45114821195602417},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4227531850337982},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3967810273170471},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.31280118227005005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799735426902771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6817975044250488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6815202236175537},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6062514781951904},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5310633182525635},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5263867378234863},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5212821960449219},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4992506504058838},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.48651522397994995},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.48298728466033936},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.45114821195602417},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4227531850337982},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3967810273170471},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.31280118227005005},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04338637v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04338637","pdf_url":"https://inria.hal.science/hal-04338637v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data in conjunction with the IEEE International Conference on Big Data 2023, Dec 2023, Sorrento, Italy","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04338637v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04338637","pdf_url":"https://inria.hal.science/hal-04338637v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data in conjunction with the IEEE International Conference on Big Data 2023, Dec 2023, Sorrento, Italy","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391113956.pdf","grobid_xml":"https://content.openalex.org/works/W4391113956.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1525647652","https://openalex.org/W2010657328","https://openalex.org/W2045173716","https://openalex.org/W2068714596","https://openalex.org/W2070845802","https://openalex.org/W2100406636","https://openalex.org/W2127939112","https://openalex.org/W2134125037","https://openalex.org/W2141119792","https://openalex.org/W2626498001","https://openalex.org/W2777138789","https://openalex.org/W2912436245","https://openalex.org/W2913287340","https://openalex.org/W2955219525","https://openalex.org/W2966284335","https://openalex.org/W3003253354","https://openalex.org/W3003804390","https://openalex.org/W3015626561","https://openalex.org/W3018455418","https://openalex.org/W3040879595","https://openalex.org/W3090172466","https://openalex.org/W3099242408","https://openalex.org/W3111828510","https://openalex.org/W3135693966","https://openalex.org/W4210471555","https://openalex.org/W4211116959","https://openalex.org/W4213308398","https://openalex.org/W4280521961","https://openalex.org/W6680192438","https://openalex.org/W6780874407","https://openalex.org/W6783914059"],"related_works":["https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2736127210","https://openalex.org/W2329342202","https://openalex.org/W2574092225","https://openalex.org/W2161835057","https://openalex.org/W1521014365","https://openalex.org/W4200217704","https://openalex.org/W3208495060","https://openalex.org/W2740428142"],"abstract_inverted_index":{"Automated":[0],"Machine":[1],"Learning":[2],"(autoML)":[3],"is":[4,60],"a":[5,119],"novel":[6],"topic":[7],"that":[8,52],"aims":[9],"to":[10,110],"tackle":[11],"the":[12,71,107,112,135],"parameter":[13],"configuration":[14,90,109],"issue":[15],"using":[16],"automatic":[17],"monitoring":[18],"models":[19],"and":[20,32,65,73,89,105,124,127,141],"comprises":[21],"different":[22,102],"machine":[23],"learning":[24],"tasks,":[25],"such":[26],"as":[27,44,46],"feature":[28],"selection,":[29,31],"model":[30],"hyper-parameter":[33],"tuning.":[34],"It":[35],"makes":[36],"easier":[37],"use":[38],"of":[39,97,101,122,137],"algorithms":[40],"for":[41,85,91],"non-ML":[42],"experts":[43,48],"well":[45,67],"ML":[47],"by":[49],"automating":[50],"tasks":[51],"rely":[53],"on":[54,118],"expert":[55],"domain":[56],"knowledge.":[57],"Nevertheless,":[58],"autoML":[59],"in":[61,70],"its":[62],"infancy":[63],"stage":[64],"not":[66],"explored":[68],"yet":[69],"offline":[72],"stream":[74,93],"settings.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"propose":[80],"automated":[81,86],"Classification":[82],"(auto-Class)":[83],"method":[84],"algorithm":[87],"selection":[88],"data":[92],"classification.":[94],"AutoClass":[95],"consists":[96],"training":[98],"an":[99],"ensemble":[100,140],"tuned":[103],"configurations":[104],"selecting":[106],"best-performing":[108],"do":[111],"prediction.":[113],"We":[114],"present":[115],"experiments":[116],"performed":[117],"diverse":[120],"set":[121],"real":[123],"artificial":[125],"datasets":[126],"show":[128],"how":[129],"our":[130],"proposed":[131],"approach":[132],"can":[133],"outperform":[134],"performance":[136],"competitive":[138],"state-of-the-art":[139],"single-based":[142],"methods.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
