{"id":"https://openalex.org/W4281253371","doi":"https://doi.org/10.3390/a15050174","title":"Detecting and Responding to Concept Drift in Business Processes","display_name":"Detecting and Responding to Concept Drift in Business Processes","publication_year":2022,"publication_date":"2022-05-21","ids":{"openalex":"https://openalex.org/W4281253371","doi":"https://doi.org/10.3390/a15050174"},"language":"en","primary_location":{"id":"doi:10.3390/a15050174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15050174","pdf_url":"https://www.mdpi.com/1999-4893/15/5/174/pdf?version=1653367010","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/15/5/174/pdf?version=1653367010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009848261","display_name":"Lingkai Yang","orcid":"https://orcid.org/0000-0003-4991-6813"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lingkai Yang","raw_affiliation_strings":["School of Computing, Ulster University, Jordanstown BT37 0QB, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Jordanstown BT37 0QB, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022378204","display_name":"Sally McClean","orcid":"https://orcid.org/0000-0002-6871-3504"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sally McClean","raw_affiliation_strings":["School of Computing, Ulster University, Jordanstown BT37 0QB, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Jordanstown BT37 0QB, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061575475","display_name":"Mark Donnelly","orcid":"https://orcid.org/0000-0003-1250-265X"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Donnelly","raw_affiliation_strings":["School of Computing, Ulster University, Jordanstown BT37 0QB, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Jordanstown BT37 0QB, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023720119","display_name":"Kevin Burke","orcid":"https://orcid.org/0000-0001-8724-809X"},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Kevin Burke","raw_affiliation_strings":["MACSI, Mathematics Applications Consortium for Science and Industry, University of Limerick, Limerick V94 T9PX, Ireland"],"affiliations":[{"raw_affiliation_string":"MACSI, Mathematics Applications Consortium for Science and Industry, University of Limerick, Limerick V94 T9PX, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008894729","display_name":"Kashaf Khan","orcid":"https://orcid.org/0009-0005-1948-6009"},"institutions":[{"id":"https://openalex.org/I1332878012","display_name":"BT Group (United Kingdom)","ror":"https://ror.org/00kv9pj15","country_code":"GB","type":"company","lineage":["https://openalex.org/I1332878012"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kashaf Khan","raw_affiliation_strings":["British Telecom, Ipswich IP5 3RE, UK"],"affiliations":[{"raw_affiliation_string":"British Telecom, Ipswich IP5 3RE, UK","institution_ids":["https://openalex.org/I1332878012"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009848261"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.8274,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77034657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"5","first_page":"174","last_page":"174"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10603","display_name":"Smart Grid Energy Management","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/concept-drift","display_name":"Concept drift","score":0.8746817111968994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7469959259033203},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6134690642356873},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6116048693656921},{"id":"https://openalex.org/keywords/combing","display_name":"Combing","score":0.5706271529197693},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5346404910087585},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.518858790397644},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4301115870475769},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4294503927230835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.417764812707901},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4130035936832428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3401482105255127},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.10578298568725586}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.8746817111968994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469959259033203},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6134690642356873},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6116048693656921},{"id":"https://openalex.org/C2778952367","wikidata":"https://www.wikidata.org/wiki/Q3491532","display_name":"Combing","level":2,"score":0.5706271529197693},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5346404910087585},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.518858790397644},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4301115870475769},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4294503927230835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.417764812707901},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4130035936832428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3401482105255127},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.10578298568725586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/a15050174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15050174","pdf_url":"https://www.mdpi.com/1999-4893/15/5/174/pdf?version=1653367010","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1e8c07f18609427f9a0f44edc23673e5","is_oa":true,"landing_page_url":"https://doaj.org/article/1e8c07f18609427f9a0f44edc23673e5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 15, Iss 5, p 174 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/15/5/174/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a15050174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Algorithms; Volume 15; Issue 5; Pages: 174","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:openaire/1635c5f2-f7c0-4b68-9815-2c3b9fe7eb80","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/1635c5f2-f7c0-4b68-9815-2c3b9fe7eb80","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"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":"Yang, L, McClean, S I, Donnelly, MP, Burke, K & Khan, K 2022, 'Detecting and Responding to Concept Drift in Business Processes', Algorithms, vol. 15, no. 5, 174. https://doi.org/10.3390/a15050174","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a15050174","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15050174","pdf_url":"https://www.mdpi.com/1999-4893/15/5/174/pdf?version=1653367010","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281253371.pdf","grobid_xml":"https://content.openalex.org/works/W4281253371.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W33042072","https://openalex.org/W1466892810","https://openalex.org/W1475562337","https://openalex.org/W1589398260","https://openalex.org/W1592254591","https://openalex.org/W1822489740","https://openalex.org/W1977655452","https://openalex.org/W1988135700","https://openalex.org/W1991186968","https://openalex.org/W2036656422","https://openalex.org/W2075754841","https://openalex.org/W2086242051","https://openalex.org/W2099419573","https://openalex.org/W2140405352","https://openalex.org/W2158196600","https://openalex.org/W2162569149","https://openalex.org/W2344786740","https://openalex.org/W2396839266","https://openalex.org/W2544981630","https://openalex.org/W2572662996","https://openalex.org/W2582485373","https://openalex.org/W2591999418","https://openalex.org/W2593991087","https://openalex.org/W2604313671","https://openalex.org/W2726113388","https://openalex.org/W2756184294","https://openalex.org/W2766473140","https://openalex.org/W2798699216","https://openalex.org/W2808432212","https://openalex.org/W2893503709","https://openalex.org/W2901934595","https://openalex.org/W2944528344","https://openalex.org/W2946117215","https://openalex.org/W2970064447","https://openalex.org/W2982704788","https://openalex.org/W2996896271","https://openalex.org/W3027582127","https://openalex.org/W3039714880","https://openalex.org/W3047987177","https://openalex.org/W3101236329","https://openalex.org/W3105596407","https://openalex.org/W3164034721","https://openalex.org/W3215383100","https://openalex.org/W4214512856","https://openalex.org/W4244510160","https://openalex.org/W4248246100","https://openalex.org/W4301118033","https://openalex.org/W4399504110","https://openalex.org/W6748403500"],"related_works":["https://openalex.org/W2382950503","https://openalex.org/W2374316087","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340","https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532"],"abstract_inverted_index":{"Concept":[0],"drift,":[1,140],"which":[2],"refers":[3],"to":[4,38,93,114],"changes":[5],"in":[6,18,23,51],"the":[7,26,34,58,72,77,86,90,95,101,142,151],"underlying":[8],"process":[9,133],"structure":[10],"or":[11,62,84,99],"customer":[12,52,146],"behaviour":[13],"over":[14],"time,":[15],"is":[16,29],"inevitable":[17],"business":[19],"processes,":[20],"causing":[21],"challenges":[22],"ensuring":[24],"that":[25],"learned":[27],"model":[28,78,96,102,111,128,143],"a":[30,65,112,118,125,130,159],"proper":[31],"representation":[32],"of":[33],"new":[35,80,91],"data.":[36],"Due":[37],"factors":[39],"such":[40],"as":[41,103,117],"seasonal":[42],"effects":[43],"and":[44,54,75,129,144,158],"policy":[45],"updates,":[46],"concept":[47,66,115,139],"drifts":[48],"can":[49,70,137],"occur":[50],"transitions":[53],"time":[55],"spent":[56],"throughout":[57],"process,":[59],"either":[60],"suddenly":[61],"gradually.":[63],"In":[64,107],"drift":[67,116],"context,":[68],"we":[69,110],"discard":[71],"old":[73,87],"data":[74,88,92],"retrain":[76,141],"using":[79],"observations":[81],"(sudden":[82],"drift)":[83,98],"combine":[85],"with":[89,164],"update":[94,145],"(gradual":[97],"maintain":[100],"unchanged":[104],"(no":[105],"drift).":[106],"this":[108],"paper,":[109],"response":[113],"sequential":[119],"decision":[120,132],"making":[121],"problem":[122],"by":[123],"combing":[124],"hierarchical":[126],"Markov":[127,131],"(MDP).":[134],"The":[135],"approach":[136,153],"detect":[138],"profiles":[147],"automatically.":[148],"We":[149],"validate":[150],"proposed":[152],"on":[154],"68":[155],"artificial":[156],"datasets":[157],"real-world":[160],"hospital":[161],"billing":[162],"dataset,":[163],"experimental":[165],"results":[166],"showing":[167],"promising":[168],"performance.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
