{"id":"https://openalex.org/W7148798615","doi":"https://doi.org/10.1007/s44311-026-00039-7","title":"Task-free diversity-aware continual learning for online next activity prediction","display_name":"Task-free diversity-aware continual learning for online next activity prediction","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7148798615","doi":"https://doi.org/10.1007/s44311-026-00039-7"},"language":"en","primary_location":{"id":"doi:10.1007/s44311-026-00039-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44311-026-00039-7","pdf_url":null,"source":{"id":"https://openalex.org/S5407036648","display_name":"Process Science","issn_l":"2948-2178","issn":["2948-2178"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Process Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s44311-026-00039-7","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117244254","display_name":"Sjoerd van Straten","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sjoerd van Straten","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eindhoven University of Technology, De Groene Loper 5, Eindhoven, Noord-Brabant, 5612AE, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, De Groene Loper 5, Eindhoven, Noord-Brabant, 5612AE, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010932014","display_name":"Ruozhu Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ruozhu Yao","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eindhoven University of Technology, De Groene Loper 5, Eindhoven, Noord-Brabant, 5612AE, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, De Groene Loper 5, Eindhoven, Noord-Brabant, 5612AE, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001473233","display_name":"Marwan Hassani","orcid":"https://orcid.org/0000-0002-4027-4351"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Marwan Hassani","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eindhoven University of Technology, De Groene Loper 5, Eindhoven, Noord-Brabant, 5612AE, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, De Groene Loper 5, Eindhoven, Noord-Brabant, 5612AE, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001473233"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45993901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.8619999885559082,"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":0.8619999885559082,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.042500000447034836,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.017799999564886093,"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/forgetting","display_name":"Forgetting","score":0.7006999850273132},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6172999739646912},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5867000222206116},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4925999939441681},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.44020000100135803},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4375},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4133000075817108},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.39480000734329224},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.3910999894142151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7247999906539917},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7006999850273132},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6341999769210815},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6172999739646912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6115999817848206},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5867000222206116},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4925999939441681},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4375},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4133000075817108},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.36410000920295715},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.33149999380111694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.25760000944137573},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.25619998574256897},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s44311-026-00039-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44311-026-00039-7","pdf_url":null,"source":{"id":"https://openalex.org/S5407036648","display_name":"Process Science","issn_l":"2948-2178","issn":["2948-2178"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Process Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s44311-026-00039-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44311-026-00039-7","pdf_url":null,"source":{"id":"https://openalex.org/S5407036648","display_name":"Process Science","issn_l":"2948-2178","issn":["2948-2178"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Process Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W281005445","https://openalex.org/W2022775778","https://openalex.org/W2125101937","https://openalex.org/W2473930607","https://openalex.org/W2756184294","https://openalex.org/W2963588172","https://openalex.org/W2964189064","https://openalex.org/W2978098801","https://openalex.org/W2982701845","https://openalex.org/W3133048381","https://openalex.org/W3159178627","https://openalex.org/W3198564768","https://openalex.org/W3198892831","https://openalex.org/W4312238419","https://openalex.org/W4312351187","https://openalex.org/W4312416777","https://openalex.org/W4360971546","https://openalex.org/W4377023738","https://openalex.org/W4385489155","https://openalex.org/W4399268915","https://openalex.org/W4400200994","https://openalex.org/W4402774761","https://openalex.org/W4407555162","https://openalex.org/W4408985742","https://openalex.org/W7134031972"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Continual":[1],"learning,":[2,7],"known":[3],"also":[4],"as":[5],"lifelong":[6],"aims":[8],"to":[9,19,73,112,130,160],"design":[10],"learning":[11,110,128],"models":[12],"that":[13,100,149],"can":[14],"continuously":[15],"and":[16,48,67,107,135,164,184,199],"autonomously":[17],"adapt":[18],"varying":[20],"data":[21,80,157],"concepts":[22],"without":[23,102],"forgetting":[24],"previously":[25,46,86],"collected":[26],"knowledge.":[27],"Predictive":[28],"business":[29],"process":[30,35],"monitoring,":[31],"which":[32],"predicts":[33],"future":[34],"steps,":[36],"is":[37,172],"crucial":[38],"in":[39,70,192],"dynamic":[40,65],"environments":[41],"where":[42,76],"tasks":[43,106],"are":[44],"not":[45],"specified":[47],"processes":[49],"frequently":[50],"change":[51],"or":[52],"face":[53],"unpredictability.":[54],"However,":[55],"many":[56],"existing":[57,176],"frameworks":[58],"assume":[59],"a":[60,93,119,126,143],"static":[61],"setting,":[62],"ignoring":[63],"the":[64,83,155,196],"nature":[66],"concept":[68],"drifts":[69],"processes,":[71],"leading":[72,159],"catastrophic":[74,114],"forgetting,":[75],"training":[77],"over":[78],"new":[79],"adversely":[81],"affects":[82],"performance":[84,171],"on":[85,104,182,202],"learned":[87],"tasks.":[88],"This":[89],"paper":[90],"presents":[91],"TFCLPM,":[92],"framework":[94],"for":[95],"online":[96,177],"next":[97,178],"activity":[98,179],"prediction":[99,180,193],"operates":[101],"relying":[103],"predefined":[105],"employs":[108],"continual":[109,127],"techniques":[111],"reduce":[113],"forgetting.":[115],"The":[116,168],"methodology":[117],"combines":[118],"Single":[120],"Dense":[121],"Layer":[122],"neural":[123],"network":[124],"with":[125,205],"algorithm":[129],"retain":[131],"challenging":[132],"historical":[133],"samples":[134,151],"stabilize":[136],"model":[137],"parameters.":[138],"Additionally,":[139],"our":[140],"approach":[141],"introduces":[142],"diversity-aware":[144],"memory":[145],"updating":[146],"strategy,":[147],"ensuring":[148],"retained":[150],"remain":[152],"representative":[153],"of":[154],"overall":[156],"distribution,":[158],"more":[161],"stable":[162],"adaptation":[163],"improved":[165],"long-term":[166],"retention.":[167],"proposed":[169],"framework\u2019s":[170,197],"compared":[173],"against":[174],"six":[175],"methodologies":[181],"synthetic":[183],"real-world":[185],"event":[186],"logs.":[187],"Results":[188],"show":[189],"significant":[190],"improvements":[191],"accuracy,":[194],"highlighting":[195],"robustness":[198],"efficiency,":[200],"even":[201],"larger":[203],"datasets":[204],"multiple":[206],"classes.":[207]},"counts_by_year":[],"updated_date":"2026-06-17T06:14:20.161405","created_date":"2026-04-04T00:00:00"}