{"id":"https://openalex.org/W2083135154","doi":"https://doi.org/10.1109/ijcnn.2014.6889360","title":"Data-aware remaining time prediction of business process instances","display_name":"Data-aware remaining time prediction of business process instances","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2083135154","doi":"https://doi.org/10.1109/ijcnn.2014.6889360","mag":"2083135154"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009738158","display_name":"Mirko Polato","orcid":"https://orcid.org/0000-0003-4890-5020"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirko Polato","raw_affiliation_strings":["Department of Mathematics, University of Padua, Italy","University of Padua ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Padua, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"University of Padua ,","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064873591","display_name":"Alessandro Sperduti","orcid":"https://orcid.org/0000-0002-8686-850X"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Sperduti","raw_affiliation_strings":["Department of Mathematics, University of Padua, Italy","Dept. of Math., Univ. of Padua, Padua, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Padua, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Dept. of Math., Univ. of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077864256","display_name":"Andrea Burattin","orcid":"https://orcid.org/0000-0002-0837-0183"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Burattin","raw_affiliation_strings":["Department of Mathematics, University of Padua, Italy","Dept. of Math., Univ. of Padua, Padua, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Padua, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Dept. of Math., Univ. of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074681714","display_name":"Massimiliano de Leoni","orcid":"https://orcid.org/0000-0002-8447-5374"},"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":"Massimiliano de Leoni","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands","Information Systems W&I"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Information Systems W&I","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"816","last_page":"823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9998000264167786,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9851999878883362,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7984079122543335},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.6277963519096375},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6255719065666199},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6034280061721802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5254473090171814},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4444809556007385},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4420161545276642},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4367956519126892},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.417485773563385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3730151653289795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30755379796028137},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.22576183080673218},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10324907302856445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7984079122543335},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.6277963519096375},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6255719065666199},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6034280061721802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5254473090171814},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4444809556007385},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4420161545276642},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4367956519126892},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.417485773563385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3730151653289795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30755379796028137},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.22576183080673218},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10324907302856445},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:publications/4d772fe7-c3ac-438e-8f4a-8cec4f06dda5","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/4d772fe7-c3ac-438e-8f4a-8cec4f06dda5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Polato, M, Sperduti, A, Burattin, A & Leoni, de, M 2014, Data-aware remaining time prediction of business process instances. in International Joint Conference on Neural Networks (IJCNN, Beijing, China, July 6-11, 2014). Institute of Electrical and Electronics Engineers, Piscataway, pp. 816-823. https://doi.org/10.1109/IJCNN.2014.6889360","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:783769","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=783769","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:library.tue.nl:783769","is_oa":false,"landing_page_url":"http://repository.tue.nl/783769","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:www.research.unipd.it:11577/3156618","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3156618","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:tue:oai:pure.tue.nl:publications/4d772fe7-c3ac-438e-8f4a-8cec4f06dda5","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/4d772fe7-c3ac-438e-8f4a-8cec4f06dda5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Neural Networks (IJCNN, Beijing, China, July 6-11, 2014), 816 - 823","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338388","display_name":"Eurostars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W103267121","https://openalex.org/W157614939","https://openalex.org/W1490658580","https://openalex.org/W1510073064","https://openalex.org/W1532325895","https://openalex.org/W1565132002","https://openalex.org/W1964357740","https://openalex.org/W1998640084","https://openalex.org/W2070076962","https://openalex.org/W2100115309","https://openalex.org/W2102805256","https://openalex.org/W2132589240","https://openalex.org/W2133990480","https://openalex.org/W2137226992","https://openalex.org/W2140190241","https://openalex.org/W2146708003","https://openalex.org/W2153224637","https://openalex.org/W2156099997","https://openalex.org/W2291445757","https://openalex.org/W4213009331","https://openalex.org/W4230145224","https://openalex.org/W6679920761","https://openalex.org/W6680532697","https://openalex.org/W6681710393","https://openalex.org/W6682972114","https://openalex.org/W7073772456"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2148533276","https://openalex.org/W2094012830","https://openalex.org/W187246281"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,73,114],"of":[2,6,35,41,51,115,127],"the":[3,39,72,76,79,125,129,133,140,151],"completion":[4],"time":[5,49,100,109,113,142],"a":[7,13,28,42,64,93,116,146],"business":[8],"process":[9,43,94],"instance":[10],"would":[11],"constitute":[12],"valuable":[14],"tool":[15],"when":[16],"managing":[17],"processes":[18],"under":[19],"service":[20],"level":[21],"agreement":[22],"constraints.":[23],"Such":[24],"prediction,":[25],"however,":[26],"is":[27,97,119],"very":[29],"challenging":[30],"task.":[31],"A":[32],"wide":[33],"variety":[34],"factors":[36],"could":[37],"influence":[38],"trend":[40],"instance,":[44],"and":[45,78,101,138],"hence":[46],"just":[47],"using":[48],"statistics":[50],"historical":[52],"cases":[53],"cannot":[54],"be":[55],"sufficient":[56],"to":[57,70,106],"get":[58],"accurate":[59],"predictions.":[60],"Here":[61],"we":[62],"propose":[63],"new":[65],"approach":[66,91],"where,":[67],"in":[68,104],"order":[69,105],"improve":[71],"quality,":[74],"both":[75],"control":[77],"data":[80,102,134],"flow":[81],"perspectives":[82],"are":[83],"jointly":[84],"used.":[85],"To":[86],"achieve":[87],"this":[88],"goal,":[89],"our":[90],"builds":[92],"model":[95,148],"which":[96],"augmented":[98],"by":[99,145],"information":[103],"enable":[107],"remaining":[108,112,141],"prediction.":[110],"The":[111],"running":[117],"case":[118],"calculated":[120],"combining":[121],"two":[122],"factors:":[123],"(a)":[124],"likelihood":[126],"all":[128],"following":[130],"activities,":[131],"given":[132,144],"collected":[135],"so":[136],"far;":[137],"(b)":[139],"estimation":[143],"regression":[147],"built":[149],"upon":[150],"data.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}