{"id":"https://openalex.org/W2052838005","doi":"https://doi.org/10.1109/tcad.2014.2387831","title":"Accurate Predictions of Process-Execution Time and Process Status Based on Support-Vector Regression for Enterprise Information Systems","display_name":"Accurate Predictions of Process-Execution Time and Process Status Based on Support-Vector Regression for Enterprise Information Systems","publication_year":2015,"publication_date":"2015-01-06","ids":{"openalex":"https://openalex.org/W2052838005","doi":"https://doi.org/10.1109/tcad.2014.2387831","mag":"2052838005"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2014.2387831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2014.2387831","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-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/A5017252332","display_name":"Qing Duan","orcid":"https://orcid.org/0000-0003-4467-7024"},"institutions":[{"id":"https://openalex.org/I1302135459","display_name":"PayPal (United States)","ror":"https://ror.org/016jadm77","country_code":"US","type":"company","lineage":["https://openalex.org/I1302135459"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qing Duan","raw_affiliation_strings":["PayPal Inc., San Jose, CA, USA","PayPal Inc., San Jose, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"PayPal Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I1302135459"]},{"raw_affiliation_string":"PayPal Inc., San Jose, CA, USA#TAB#","institution_ids":["https://openalex.org/I1302135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091022545","display_name":"Jun Zeng","orcid":"https://orcid.org/0000-0003-2103-4536"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Zeng","raw_affiliation_strings":["Hewlett Packard Laboratories, Palo Alto, CA, USA","Hewlett\u2013Packard Laboratories, Palo Alto, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Laboratories, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"Hewlett\u2013Packard Laboratories, Palo Alto, CA, USA#TAB#","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033880864","display_name":"Krishnendu Chakrabarty","orcid":"https://orcid.org/0000-0003-4475-6435"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishnendu Chakrabarty","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064688085","display_name":"Gary Dispoto","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary Dispoto","raw_affiliation_strings":["Hewlett Packard Laboratories, Palo Alto, CA, USA","Hewlett\u2013Packard Laboratories, Palo Alto, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Laboratories, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"Hewlett\u2013Packard Laboratories, Palo Alto, CA, USA#TAB#","institution_ids":["https://openalex.org/I1324840837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017252332"],"corresponding_institution_ids":["https://openalex.org/I1302135459"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07948357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"34","issue":"3","first_page":"354","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9883000254631042,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9883000254631042,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9865000247955322,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/computer-science","display_name":"Computer science","score":0.6916012763977051},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6570932865142822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6143060922622681},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5875650644302368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5313875079154968},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5135910511016846},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4998447895050049},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4834807515144348},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.47725722193717957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47663888335227966},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4616377055644989},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22419491410255432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13461783528327942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916012763977051},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6570932865142822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6143060922622681},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5875650644302368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313875079154968},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5135910511016846},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4998447895050049},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4834807515144348},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.47725722193717957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47663888335227966},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4616377055644989},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22419491410255432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13461783528327942},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2014.2387831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2014.2387831","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W24157999","https://openalex.org/W91932901","https://openalex.org/W577274971","https://openalex.org/W594023039","https://openalex.org/W1495061682","https://openalex.org/W1663792126","https://openalex.org/W1682762363","https://openalex.org/W1869391892","https://openalex.org/W1968665738","https://openalex.org/W1974309609","https://openalex.org/W1978639190","https://openalex.org/W1981141412","https://openalex.org/W1981276685","https://openalex.org/W1981454464","https://openalex.org/W1985760828","https://openalex.org/W1986375326","https://openalex.org/W1990681647","https://openalex.org/W1993476756","https://openalex.org/W1994497799","https://openalex.org/W2004087388","https://openalex.org/W2010376718","https://openalex.org/W2034599282","https://openalex.org/W2035314495","https://openalex.org/W2036038163","https://openalex.org/W2043175197","https://openalex.org/W2061680183","https://openalex.org/W2069929199","https://openalex.org/W2072970559","https://openalex.org/W2075302537","https://openalex.org/W2080258928","https://openalex.org/W2102256979","https://openalex.org/W2106391797","https://openalex.org/W2107892091","https://openalex.org/W2116734148","https://openalex.org/W2121385267","https://openalex.org/W2124690033","https://openalex.org/W2133990480","https://openalex.org/W2143865325","https://openalex.org/W2149298154","https://openalex.org/W2149877754","https://openalex.org/W2156909104","https://openalex.org/W2164641162","https://openalex.org/W2167724537","https://openalex.org/W2168156818","https://openalex.org/W2168344315","https://openalex.org/W2168479209","https://openalex.org/W2172073485","https://openalex.org/W2543590818","https://openalex.org/W2798766386","https://openalex.org/W3145669339","https://openalex.org/W4229831042","https://openalex.org/W4237252618","https://openalex.org/W4246945957","https://openalex.org/W4300443083","https://openalex.org/W4396738453","https://openalex.org/W6600981863","https://openalex.org/W6603746958","https://openalex.org/W6629652716","https://openalex.org/W6637136242","https://openalex.org/W6677376138","https://openalex.org/W6683984541","https://openalex.org/W6684446252","https://openalex.org/W6684845054","https://openalex.org/W6729158400"],"related_works":["https://openalex.org/W2747895175","https://openalex.org/W2946583009","https://openalex.org/W2614669534","https://openalex.org/W2104406636","https://openalex.org/W2123014508","https://openalex.org/W2105512057","https://openalex.org/W4252625449","https://openalex.org/W3131201603","https://openalex.org/W2115788596","https://openalex.org/W2498443996"],"abstract_inverted_index":{"Accurate":[0],"predictions":[1],"of":[2,14,113,133,156,167],"both":[3,124],"process-execution":[4,27],"time":[5,41,88],"and":[6,29,47,129,164],"process":[7,30,77],"status":[8,58,189],"are":[9],"crucial":[10],"for":[11,188,202],"the":[12,86,91,110,119,125,130,134,138,154,157,168],"development":[13,163],"an":[15,38,81],"intelligent":[16],"enterprise":[17,116],"information":[18],"system":[19],"(EIS).":[20],"We":[21],"have":[22],"developed":[23],"new":[24],"automated":[25],"learning-based":[26],"time-prediction":[28,50,121,182],"status-prediction":[31,140,196],"methods":[32,51,95,102,170],"that":[33,118,198],"can":[34],"be":[35],"embedded":[36],"into":[37],"EIS.":[39],"Process-execution":[40],"prediction":[42,59,190],"is":[43,60,73,186],"a":[44,53,61,67,76,114,180,194],"regression":[45,55,135],"problem":[46,64],"state-of-the-art":[48,149],"(baseline)":[49],"use":[52],"machine-learning":[54],"model.":[56,136],"Process":[57],"binary":[62],"classification":[63,146,200],"in":[65,97],"which":[66],"class":[68],"labeled":[69],"\u201ccompleted\u201d":[70],"or":[71],"\u201cin-progress\u201d":[72],"assigned":[74],"to":[75,80,193],"with":[78,103],"respect":[79],"arbitrary":[82,176],"predictive":[83,177,205],"horizon":[84],"(i.e.,":[85],"future":[87],"given":[89],"by":[90],"method":[92,122,141,197],"user).":[93],"The":[94],"proposed":[96,120,139,169,185],"this":[98],"paper":[99],"integrate":[100],"statistical":[101],"support-vector":[104],"regression.":[105],"Comparison":[106],"results":[107],"obtained":[108],"from":[109],"real":[111],"data":[112],"digital-print":[115],"show":[117],"reduces":[123],"relative":[126],"mean":[127],"error":[128,132],"root-mean-squared":[131],"Furthermore,":[137],"not":[142,172],"only":[143],"achieves":[144],"higher":[145],"accuracy":[147],"than":[148],"methods,":[150],"it":[151],"also":[152],"estimates":[153],"probability":[155],"predicted":[158],"status.":[159],"In":[160],"addition,":[161],"algorithm":[162],"training":[165],"phases":[166],"do":[171],"rely":[173],"on":[174],"any":[175],"horizon.":[178],"Therefore,":[179],"single":[181],"model":[183],"as":[184,191],"sufficient":[187],"opposed":[192],"baseline":[195],"requires":[199],"models":[201],"all":[203],"potential":[204],"horizons.":[206]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
