{"id":"https://openalex.org/W4403582459","doi":"https://doi.org/10.1145/3627673.3679980","title":"Prioritized Binary Transformation Method for Efficient Multi-label Classification of Data Streams with Many Labels","display_name":"Prioritized Binary Transformation Method for Efficient Multi-label Classification of Data Streams with Many Labels","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582459","doi":"https://doi.org/10.1145/3627673.3679980"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679980","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679980","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3627673.3679980","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061777454","display_name":"Onur Yildirim","orcid":"https://orcid.org/0000-0002-2405-1537"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Onur Yildirim","raw_affiliation_strings":["Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019378819","display_name":"Sepehr Bakhshi","orcid":"https://orcid.org/0000-0003-2292-6130"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sepehr Bakhshi","raw_affiliation_strings":["Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086385685","display_name":"Fazl\u0131 Can","orcid":"https://orcid.org/0000-0003-0016-4278"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fazli Can","raw_affiliation_strings":["Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061777454"],"corresponding_institution_ids":["https://openalex.org/I168864056"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76784987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4218","last_page":"4222"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9944999814033508,"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":0.9868999719619751,"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":0.7450684309005737},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6928392648696899},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6673926115036011},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.6668515205383301},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.625552237033844},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5810651779174805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4656437635421753},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.4363560378551483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39647340774536133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12792962789535522},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07480308413505554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450684309005737},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6928392648696899},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6673926115036011},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6668515205383301},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.625552237033844},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5810651779174805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4656437635421753},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.4363560378551483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39647340774536133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12792962789535522},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07480308413505554},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679980","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679980","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627673.3679980","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679980","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1986159170","https://openalex.org/W1999954155","https://openalex.org/W2002830978","https://openalex.org/W2038624061","https://openalex.org/W2045938006","https://openalex.org/W2068714596","https://openalex.org/W2084689094","https://openalex.org/W2089468765","https://openalex.org/W2099419573","https://openalex.org/W2137484796","https://openalex.org/W2146241755","https://openalex.org/W2411155974","https://openalex.org/W2588336250","https://openalex.org/W2767245172","https://openalex.org/W2893229737","https://openalex.org/W2959847406","https://openalex.org/W2998301895","https://openalex.org/W3098010026","https://openalex.org/W3111828510","https://openalex.org/W4306317388","https://openalex.org/W4391872805","https://openalex.org/W6765694653","https://openalex.org/W6787556164"],"related_works":["https://openalex.org/W4293083682","https://openalex.org/W2061507057","https://openalex.org/W2154693897","https://openalex.org/W104621197","https://openalex.org/W2094988397","https://openalex.org/W2018164323","https://openalex.org/W2018596126","https://openalex.org/W2083580028","https://openalex.org/W1980535114","https://openalex.org/W2063706985"],"abstract_inverted_index":{"Real-time":[0],"data":[1,8,23,37,62,84,156],"processing":[2],"systems":[3],"generate":[4],"huge":[5],"amounts":[6],"of":[7,21,30,52,59,88,142],"that":[9],"need":[10],"to":[11,40,108,126],"be":[12],"classified.":[13],"The":[14],"volume,":[15],"variety,":[16],"velocity,":[17],"and":[18,27,123,158,165],"veracity":[19],"(uncertainty)":[20],"this":[22],"necessitate":[24],"new":[25],"approaches":[26],"the":[28,35,46,50,60,75,92,110,136,143],"adaptation":[29],"existing":[31],"classification":[32,64],"methods.":[33],"Moreover,":[34,147],"arriving":[36],"can":[38,82],"belong":[39],"more":[41],"than":[42],"one":[43],"class":[44],"at":[45],"same":[47],"time.":[48],"As":[49],"number":[51],"labels":[53,89,93],"grows":[54],"larger,":[55],"a":[56,71,100],"significant":[57],"portion":[58],"multi-label":[61],"stream":[63],"methods":[65],"become":[66],"computationally":[67],"inefficient.":[68],"We":[69,115],"propose":[70],"novel":[72],"online":[73],"approach:":[74],"Prioritized":[76],"Binary":[77],"Transformation":[78],"(PBT)":[79],"method,":[80],"which":[81],"classify":[83],"with":[85],"large":[86],"numbers":[87],"by":[90],"ordering":[91],"using":[94,130],"Principal":[95],"Component":[96],"Analysis":[97],"(PCA)":[98],"within":[99],"fixed-size":[101],"window.":[102],"This":[103],"order":[104],"is":[105],"then":[106],"used":[107],"transform":[109],"label":[111],"vectors":[112],"for":[113],"classification.":[114],"perform":[116],"an":[117],"empirical":[118],"analysis":[119],"on":[120],"12":[121],"datasets":[122],"compare":[124],"PBT":[125,134,162],"four":[127,131,144],"prominent":[128],"baselines":[129],"evaluation":[132,145],"metrics.":[133,146],"achieves":[135,163],"best":[137],"average":[138,152,167],"ranking":[139],"in":[140],"three":[141],"we":[148],"investigate":[149],"efficiency":[150],"under":[151],"execution":[153],"time":[154],"per":[155],"item":[157],"memory":[159],"consumption":[160],"where":[161],"second":[164],"first":[166],"rankings,":[168],"respectively.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
