{"id":"https://openalex.org/W4406753809","doi":"https://doi.org/10.1109/ojcs.2024.3519815","title":"What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction","display_name":"What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406753809","doi":"https://doi.org/10.1109/ojcs.2024.3519815"},"language":"en","primary_location":{"id":"doi:10.1109/ojcs.2024.3519815","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3519815","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/ojcs.2024.3519815","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021224978","display_name":"Lerina Aversano","orcid":"https://orcid.org/0000-0003-2436-6835"},"institutions":[{"id":"https://openalex.org/I106296451","display_name":"University of Foggia","ror":"https://ror.org/01xtv3204","country_code":"IT","type":"education","lineage":["https://openalex.org/I106296451"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lerina Aversano","raw_affiliation_strings":["Department of Agricultural Sciences, Food, Natural Resources and Engineering, University of Foggia, Foggia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Agricultural Sciences, Food, Natural Resources and Engineering, University of Foggia, Foggia, Italy","institution_ids":["https://openalex.org/I106296451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024514136","display_name":"Martina Iammarino","orcid":"https://orcid.org/0000-0001-8025-733X"},"institutions":[{"id":"https://openalex.org/I4210125310","display_name":"Pegaso University","ror":"https://ror.org/03cxwg632","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210125310"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Martina Iammarino","raw_affiliation_strings":["Department of Information Science and Technology, Pegaso University, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8025-733X","affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Pegaso University, Naples, Italy","institution_ids":["https://openalex.org/I4210125310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092571290","display_name":"Antonella Madau","orcid":null},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonella Madau","raw_affiliation_strings":["Department of Engineering, University of Sannio, Benevento, Italy"],"raw_orcid":"https://orcid.org/0009-0003-2227-9778","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038436210","display_name":"Giuseppe Pirlo","orcid":"https://orcid.org/0000-0002-7305-2210"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Pirlo","raw_affiliation_strings":["Department of Computer Science, University of Bari Aldo Moro, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7305-2210","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bari Aldo Moro, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085743970","display_name":"Gianfranco Semeraro","orcid":"https://orcid.org/0000-0003-1666-8323"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gianfranco Semeraro","raw_affiliation_strings":["European Digital Innovation Hub for Digital Transformation (EDIH4DT), Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1666-8323","affiliations":[{"raw_affiliation_string":"European Digital Innovation Hub for Digital Transformation (EDIH4DT), Bari, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":1.8699,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83412809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"261","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.8866000175476074,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.8866000175476074,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7961999773979187,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11122","display_name":"Online Learning and Analytics","score":0.7699999809265137,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.5159174203872681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3368299901485443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5159174203872681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3368299901485443}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcs.2024.3519815","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3519815","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4c2a832aaf48432d9288ca7bc122c8c3","is_oa":true,"landing_page_url":"https://doaj.org/article/4c2a832aaf48432d9288ca7bc122c8c3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Computer Society, Vol 6, Pp 261-271 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcs.2024.3519815","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3519815","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5799999833106995,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2962727190","https://openalex.org/W3094626345","https://openalex.org/W3182589618","https://openalex.org/W3200492917","https://openalex.org/W4230145224","https://openalex.org/W4243932450","https://openalex.org/W4282006100","https://openalex.org/W4285187659","https://openalex.org/W4285280214","https://openalex.org/W4312710195","https://openalex.org/W4321021984","https://openalex.org/W4385128437","https://openalex.org/W4387360092","https://openalex.org/W4387757670","https://openalex.org/W4388709737","https://openalex.org/W4400762160"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Process":[0],"Mining":[1],"merges":[2],"data":[3,16,84],"science":[4,7],"and":[5,25,34,40,55,94,111,194,212],"process":[6,15,49,53,57,61,145,223],"that":[8,234],"allows":[9],"for":[10,28,199,209],"the":[11,29,32,63,75,90,119,123,136,140,149,167,238,256,263],"analysis":[12,182],"of":[13,31,37,46,65,107,138,151,161,169,183,192,196,258,265],"recorded":[14],"by":[17,251],"capturing":[18],"activities":[19],"within":[20,237],"event-logs.":[21],"It":[22],"finds":[23],"more":[24,26],"applications":[27],"optimization":[30],"production":[33],"administrative":[35],"processes":[36],"private":[38],"companies":[39],"public":[41],"administrations.":[42],"This":[43],"field":[44],"consists":[45],"several":[47,125],"areas:":[48],"discovery,":[50],"compliance":[51],"monitoring,":[52,62,146],"improvement,":[54],"predictive":[56,60,144],"monitoring.":[58],"Considering":[59],"subarea":[64,102],"next":[66,76,120,141,266],"activity":[67,77,92,142,267],"prediction":[68,73,165],"helps":[69],"to":[70,104,117,129,163,216],"obtain":[71],"a":[72,114,159,180,203,213],"about":[74],"performed":[78],"using":[79],"control":[80],"flow":[81],"data,":[82,230],"event":[83,201],"with":[85,113],"no":[86],"attributes":[87],"other":[88,243],"than":[89],"timestamp,":[91,190],"label,":[93],"case":[95],"identifier.":[96],"A":[97],"popular":[98],"approach":[99],"in":[100,143,189,202,220,261],"this":[101,133,175],"is":[103,178,232],"use":[105],"sub-sequences":[106],"events,":[108],"called":[109],"prefixes":[110],"extracted":[112,198],"sliding":[115],"window,":[116],"predict":[118],"activity.":[121],"In":[122,174],"literature,":[124],"features":[126,162],"are":[127,225,248],"added":[128],"increase":[130],"performance.":[131],"Specifically,":[132],"article":[134,176],"addresses":[135],"problem":[137],"predicting":[139],"focusing":[147],"on":[148,228],"usefulness":[150],"temporal":[152,170,184,244],"features.":[153,245],"While":[154],"past":[155,229],"research":[156],"has":[157],"explored":[158],"variety":[160],"improve":[164],"accuracy,":[166],"contribution":[168],"information":[171],"remains":[172],"unclear.":[173],"it":[177,231],"proposed":[179],"comparative":[181],"features,":[185],"such":[186],"as":[187],"differences":[188,236,260],"time":[191],"day,":[193],"day":[195],"week,":[197],"each":[200],"prefix.":[204],"Using":[205],"both":[206],"k-fold":[207],"cross-validation":[208],"robust":[210],"benchmarking":[211],"75/25":[214],"split":[215],"simulate":[217],"real":[218],"scenarios":[219],"which":[221],"new":[222],"events":[224],"predicted":[226],"based":[227],"shown":[233],"timestamp":[235,259],"same":[239],"prefix":[240],"consistently":[241],"outperform":[242],"Our":[246],"results":[247],"further":[249],"validated":[250],"Shapley's":[252],"value":[253],"analysis,":[254],"highlighting":[255],"importance":[257],"improving":[262],"accuracy":[264],"prediction.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-01-24T00:00:00"}