{"id":"https://openalex.org/W2434851943","doi":"https://doi.org/10.1109/icde.2016.7498264","title":"Efficient handling of concept drift and concept evolution over Stream Data","display_name":"Efficient handling of concept drift and concept evolution over Stream Data","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2434851943","doi":"https://doi.org/10.1109/icde.2016.7498264","mag":"2434851943"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2016.7498264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","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/A5016050605","display_name":"Ahsanul Haque","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahsanul Haque","raw_affiliation_strings":["Department of Computer Science, The University of Texas, Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas, Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005002693","display_name":"Latifur Khan","orcid":"https://orcid.org/0000-0002-9300-1576"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Latifur Khan","raw_affiliation_strings":["Department of Computer Science, The University of Texas, Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas, Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041858091","display_name":"Michael Baron","orcid":"https://orcid.org/0000-0002-5211-0274"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Baron","raw_affiliation_strings":["Department of Mathematical Sciences, The University of Texas, Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, The University of Texas, Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072193842","display_name":"Bhavani Thuraisingham","orcid":"https://orcid.org/0000-0003-4653-2080"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhavani Thuraisingham","raw_affiliation_strings":["Department of Computer Science, The University of Texas, Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas, Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028089542","display_name":"Char\u0173 C. Aggarwal","orcid":"https://orcid.org/0000-0003-2579-7581"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charu Aggarwal","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016050605"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":15.6145,"has_fulltext":false,"cited_by_count":117,"citation_normalized_percentile":{"value":0.9896563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"481","last_page":"492"},"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":0.9821000099182129,"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/T11407","display_name":"Innovative Microfluidic and Catalytic Techniques Innovation","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.8812854290008545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7882070541381836},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.7800761461257935},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6016408801078796},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.49888157844543457},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4929006099700928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4558708369731903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44891390204429626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3249523639678955},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.28471213579177856}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8812854290008545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882070541381836},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.7800761461257935},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6016408801078796},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.49888157844543457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4929006099700928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4558708369731903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44891390204429626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3249523639678955},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.28471213579177856},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2016.7498264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W97587332","https://openalex.org/W1506455642","https://openalex.org/W1521014365","https://openalex.org/W1564544723","https://openalex.org/W1585854823","https://openalex.org/W1673310716","https://openalex.org/W1995357300","https://openalex.org/W2026297770","https://openalex.org/W2033286383","https://openalex.org/W2044574055","https://openalex.org/W2054079539","https://openalex.org/W2068319486","https://openalex.org/W2073426807","https://openalex.org/W2077148869","https://openalex.org/W2107056945","https://openalex.org/W2130416896","https://openalex.org/W2133088989","https://openalex.org/W2143991132","https://openalex.org/W2145898068","https://openalex.org/W2160806787","https://openalex.org/W2165660393","https://openalex.org/W2167845177","https://openalex.org/W2212076521","https://openalex.org/W2293884019","https://openalex.org/W2470412537","https://openalex.org/W2903158431","https://openalex.org/W6637131181","https://openalex.org/W6681814599","https://openalex.org/W6684485356","https://openalex.org/W6756615331"],"related_works":["https://openalex.org/W2940903377","https://openalex.org/W4229924696","https://openalex.org/W3108897387","https://openalex.org/W4386121812","https://openalex.org/W4307392573","https://openalex.org/W2912132049","https://openalex.org/W2186919162","https://openalex.org/W2981673118","https://openalex.org/W4389000576","https://openalex.org/W2167825284"],"abstract_inverted_index":{"To":[0],"decide":[1],"if":[2],"an":[3,120],"update":[4,39,94],"to":[5,49,71,88,93,107],"a":[6,26,35,60,73,82,156],"data":[7,87],"stream":[8],"classifier":[9,18,30,44,69],"is":[10,25,46,99,124],"necessary,":[11],"existing":[12],"sliding":[13],"window":[14],"based":[15,125],"techniques":[16],"monitor":[17],"performance":[19,45],"on":[20,68,126,159],"recent":[21],"instances.":[22],"If":[23],"there":[24],"significant":[27],"change":[28,66,112,139],"in":[29,101,171],"performance,":[31],"these":[32],"approaches":[33],"determine":[34],"chunk":[36,90],"boundary,":[37],"and":[38,92,136,152,176],"the":[40,95,111,127,138,149,168],"classifier.":[41,96],"However,":[42,97],"monitoring":[43],"costly":[47],"due":[48,106],"scarcity":[50],"of":[51,85,103,110,148,155,167,173],"labeled":[52,86],"data.":[53],"In":[54,115],"our":[55],"previous":[56],"work,":[57],"we":[58,118,144],"presented":[59],"semi-supervised":[61],"framework":[62,170],"SAND,":[63,131],"which":[64,123],"uses":[65],"detection":[67,113,140],"confidence":[70,150,161],"detect":[72,89],"concept":[74,157],"drift.":[75],"Unlike":[76],"most":[77],"approaches,":[78],"it":[79],"requires":[80],"only":[81],"limited":[83],"amount":[84],"boundaries":[91],"SAND":[98],"expensive":[100],"terms":[102,172],"execution":[104,177],"time":[105],"exhaustive":[108],"invocation":[109],"module.":[114],"this":[116],"paper,":[117],"present":[119],"efficient":[121],"framework,":[122],"same":[128],"principle":[129],"as":[130],"but":[132],"exploits":[133],"dynamic":[134],"programming":[135],"executes":[137],"module":[141],"selectively.":[142],"Moreover,":[143],"provide":[145],"theoretical":[146],"justification":[147],"calculation,":[151],"show":[153,165],"effect":[154],"drift":[158],"subsequent":[160],"scores.":[162],"Experiment":[163],"results":[164],"efficiency":[166],"proposed":[169],"both":[174],"accuracy":[175],"time.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}