{"id":"https://openalex.org/W2042130307","doi":"https://doi.org/10.1145/2623330.2623363","title":"Proactive workflow modeling by stochastic processes with application to healthcare operation and management","display_name":"Proactive workflow modeling by stochastic processes with application to healthcare operation and management","publication_year":2014,"publication_date":"2014-08-22","ids":{"openalex":"https://openalex.org/W2042130307","doi":"https://doi.org/10.1145/2623330.2623363","mag":"2042130307"},"language":"en","primary_location":{"id":"doi:10.1145/2623330.2623363","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2623330.2623363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-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/A5033864788","display_name":"Chuanren Liu","orcid":"https://orcid.org/0000-0001-9030-8495"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chuanren Liu","raw_affiliation_strings":["Rutgers University, Newark, USA","Rutgers University - Newark, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Newark, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University - Newark, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101744165","display_name":"Yong Ge","orcid":"https://orcid.org/0000-0001-8094-4180"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Ge","raw_affiliation_strings":["UNC Charlotte, Charlotte, USA","[UNC Charlotte, Charlotte, USA]"],"affiliations":[{"raw_affiliation_string":"UNC Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"[UNC Charlotte, Charlotte, USA]","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Rutgers University, Newark, USA","Rutgers University - Newark, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Newark, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Rutgers University - Newark, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068405466","display_name":"Keli Xiao","orcid":"https://orcid.org/0000-0001-6494-1174"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keli Xiao","raw_affiliation_strings":["Stony Brook University, New York, USA","Stony Brook University , New York , USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, New York, USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University , New York , USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018475103","display_name":"Wei Geng","orcid":"https://orcid.org/0000-0002-4791-6417"},"institutions":[{"id":"https://openalex.org/I4210147095","display_name":"Aware (United States)","ror":"https://ror.org/03w007e62","country_code":"US","type":"company","lineage":["https://openalex.org/I4210147095"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Geng","raw_affiliation_strings":["Awarepoint Corporation, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"Awarepoint Corporation, San Diego, USA","institution_ids":["https://openalex.org/I4210147095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028079611","display_name":"Matt Perkins","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147095","display_name":"Aware (United States)","ror":"https://ror.org/03w007e62","country_code":"US","type":"company","lineage":["https://openalex.org/I4210147095"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Perkins","raw_affiliation_strings":["Awarepoint Corporation, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"Awarepoint Corporation, San Diego, USA","institution_ids":["https://openalex.org/I4210147095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033864788"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":1.951,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88983792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1593","last_page":"1602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9948999881744385,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9948999881744385,"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/T11719","display_name":"Data Quality and Management","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/workflow","display_name":"Workflow","score":0.9195228815078735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7583945989608765},{"id":"https://openalex.org/keywords/workflow-technology","display_name":"Workflow technology","score":0.7178175449371338},{"id":"https://openalex.org/keywords/workflow-management-system","display_name":"Workflow management system","score":0.6541852951049805},{"id":"https://openalex.org/keywords/workflow-engine","display_name":"Workflow engine","score":0.6525379419326782},{"id":"https://openalex.org/keywords/xpdl","display_name":"XPDL","score":0.6136651039123535},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4817619323730469},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4356536865234375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4052280783653259},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3334513008594513},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.30754750967025757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2514376640319824}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.9195228815078735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583945989608765},{"id":"https://openalex.org/C19612761","wikidata":"https://www.wikidata.org/wiki/Q8034836","display_name":"Workflow technology","level":3,"score":0.7178175449371338},{"id":"https://openalex.org/C140824633","wikidata":"https://www.wikidata.org/wiki/Q2808660","display_name":"Workflow management system","level":3,"score":0.6541852951049805},{"id":"https://openalex.org/C188220564","wikidata":"https://www.wikidata.org/wiki/Q3325097","display_name":"Workflow engine","level":3,"score":0.6525379419326782},{"id":"https://openalex.org/C130536060","wikidata":"https://www.wikidata.org/wiki/Q592375","display_name":"XPDL","level":4,"score":0.6136651039123535},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4817619323730469},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4356536865234375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4052280783653259},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3334513008594513},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.30754750967025757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2514376640319824}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2623330.2623363","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2623330.2623363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1508806467","https://openalex.org/W2012580531","https://openalex.org/W2044023374","https://openalex.org/W2057697273","https://openalex.org/W2063920058","https://openalex.org/W2097241863","https://openalex.org/W2098250644","https://openalex.org/W2099594331","https://openalex.org/W2119307209","https://openalex.org/W2123504323","https://openalex.org/W2140251882","https://openalex.org/W2144736080","https://openalex.org/W2151647377","https://openalex.org/W2168884627","https://openalex.org/W2169478132","https://openalex.org/W2911940095"],"related_works":["https://openalex.org/W2391168633","https://openalex.org/W2387628393","https://openalex.org/W2385499106","https://openalex.org/W2370201914","https://openalex.org/W72158422","https://openalex.org/W2366664125","https://openalex.org/W2461451332","https://openalex.org/W2356466503","https://openalex.org/W4243394944","https://openalex.org/W2049143847"],"abstract_inverted_index":{"Advances":[0],"in":[1,33,41,61,67,86,117,188,227,239],"real-time":[2,38],"location":[3,18,62,84,119,165,190],"system":[4],"(RTLS)":[5],"solutions":[6],"have":[7,224],"enabled":[8],"us":[9],"to":[10,138,167,198],"collect":[11],"massive":[12],"amounts":[13],"of":[14,75,82,104,134,170,195,233],"fine-grained":[15],"semantically":[16],"rich":[17],"traces,":[19,120],"which":[20,236],"provide":[21,71],"unparalleled":[22],"opportunities":[23],"for":[24,37,54,143],"understanding":[25],"human":[26],"activities":[27],"and":[28,127,173,203,231],"discovering":[29],"useful":[30],"knowledge.":[31],"This,":[32],"turn,":[34],"delivers":[35],"intelligence":[36],"decision":[39],"making":[40],"various":[42],"fields,":[43],"such":[44],"as":[45,152],"workflow":[46,55,76,94,99,114,125,147,171,176,219,228,234],"management.":[47],"Indeed,":[48],"it":[49,109],"is":[50,107],"a":[51,72,140],"new":[52],"paradigm":[53],"modeling":[56,77,95,201],"by":[57,78,121,179],"the":[58,79,87,113,118,124,131,144,146,162,168,175,186,189,200,211,218,240],"knowledge":[59],"discovery":[60],"traces.":[63],"To":[64],"that":[65,108,210],"end,":[66],"this":[68],"paper,":[69],"we":[70,160,184],"focused":[73],"study":[74],"integrated":[80],"analysis":[81],"indoor":[83,164],"traces":[85,166,191],"hospital":[88],"environment.":[89],"In":[90],"comparison":[91],"with":[92,155],"conventional":[93],"based":[96],"on":[97],"passive":[98],"logs,":[100],"one":[101],"salient":[102],"feature":[103],"our":[105],"approach":[106],"can":[110,214],"proactively":[111],"unravel":[112],"patterns":[115,133,178,220],"hidden":[116],"automatically":[122],"constructing":[123],"states":[126,148,172],"estimating":[128],"parameters":[129],"describing":[130],"transition":[132,177],"moving":[135],"objects.":[136],"Specifically,":[137],"determine":[139],"meaningful":[141],"granularity":[142],"model,":[145],"are":[149,237],"first":[150],"constructed":[151],"regions":[153],"associated":[154],"specific":[156],"healthcare":[157,241],"activities.":[158],"Then,":[159],"transform":[161],"original":[163],"sequences":[169],"model":[174,217],"finite":[180],"state":[181],"machines.":[182],"Furthermore,":[183],"leverage":[185],"correlations":[187],"between":[192],"related":[193],"types":[194],"medical":[196],"devices":[197],"reinforce":[199],"performance":[202],"enable":[204],"more":[205],"applications.":[206],"The":[207],"results":[208],"show":[209],"proposed":[212],"framework":[213],"not":[215],"only":[216],"effectively,":[221],"but":[222],"also":[223],"managerial":[225],"applications":[226],"monitoring,":[229],"auditing,":[230],"inspection":[232],"compliance,":[235],"critical":[238],"industry.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}