{"id":"https://openalex.org/W2810181337","doi":"https://doi.org/10.1142/s0219622018500463","title":"A Proactive Decision Support System for Online Event Streams","display_name":"A Proactive Decision Support System for Online Event Streams","publication_year":2018,"publication_date":"2018-06-29","ids":{"openalex":"https://openalex.org/W2810181337","doi":"https://doi.org/10.1142/s0219622018500463","mag":"2810181337"},"language":"en","primary_location":{"id":"doi:10.1142/s0219622018500463","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622018500463","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","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/A5057416382","display_name":"Yongheng Wang","orcid":"https://orcid.org/0000-0002-7675-2327"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongheng Wang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Hunan University, Changsha 410082, China"],"raw_orcid":"https://orcid.org/0000-0002-7675-2327","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Hunan University, Changsha 410082, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002002526","display_name":"Xiaozan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozan Zhang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Hunan University, Changsha 410082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Hunan University, Changsha 410082, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046392528","display_name":"Zengwang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengwang Wang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Hunan University, Changsha 410082, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Hunan University, Changsha 410082, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057416382"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.5605,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6976485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":"06","first_page":"1891","last_page":"1913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9923999905586243,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9872000217437744,"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/computer-science","display_name":"Computer science","score":0.8206523656845093},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6395276784896851},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6223743557929993},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.5834448933601379},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5415135025978088},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5292296409606934},{"id":"https://openalex.org/keywords/complex-event-processing","display_name":"Complex event processing","score":0.528469979763031},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.5264393091201782},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5262647867202759},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5084668397903442},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49114200472831726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4863510727882385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4536761939525604},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4166661500930786},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.3377044200897217},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.21070852875709534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8206523656845093},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6395276784896851},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6223743557929993},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5834448933601379},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5415135025978088},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5292296409606934},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.528469979763031},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.5264393091201782},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5262647867202759},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5084668397903442},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49114200472831726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4863510727882385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4536761939525604},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4166661500930786},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3377044200897217},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.21070852875709534},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219622018500463","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622018500463","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitdm:v:17:y:2018:i:06:n:s0219622018500463","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219622018500463","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W109970643","https://openalex.org/W1561433714","https://openalex.org/W1570834090","https://openalex.org/W1607805252","https://openalex.org/W2040297119","https://openalex.org/W2049367484","https://openalex.org/W2100300938","https://openalex.org/W2147131707","https://openalex.org/W2149464156","https://openalex.org/W2165991108","https://openalex.org/W2518272248","https://openalex.org/W2596318349","https://openalex.org/W2795245935"],"related_works":["https://openalex.org/W4229053657","https://openalex.org/W2022737436","https://openalex.org/W4361250843","https://openalex.org/W2162565585","https://openalex.org/W2751878509","https://openalex.org/W3093672812","https://openalex.org/W1987108535","https://openalex.org/W2108537333","https://openalex.org/W1998050545","https://openalex.org/W2810181337"],"abstract_inverted_index":{"In-stream":[0],"big":[1,9],"data":[2,10],"processing":[3],"is":[4,88,98],"an":[5],"important":[6],"part":[7],"of":[8],"processing.":[11],"Proactive":[12],"decision":[13,36,82,92],"support":[14,37],"systems":[15],"can":[16],"predict":[17,59],"future":[18,60],"system":[19,38,63],"states":[20,87],"and":[21,62,71],"execute":[22],"some":[23],"actions":[24],"to":[25,58,74,103],"avoid":[26],"unwanted":[27],"states.":[28,64],"In":[29],"this":[30,50,101,113],"paper,":[31],"we":[32],"propose":[33],"a":[34],"proactive":[35],"for":[39,100,117],"online":[40],"event":[41,76],"streams.":[42],"Based":[43],"on":[44],"Complex":[45],"Event":[46],"Processing":[47],"(CEP)":[48],"technology,":[49],"method":[51,97,114],"uses":[52],"structure":[53],"varying":[54],"dynamic":[55],"Bayesian":[56,66],"network":[57,67],"events":[61],"Different":[65],"structures":[68],"are":[69],"learned":[70],"used":[72],"according":[73],"different":[75],"context.":[77],"A":[78,95],"networked":[79],"distributed":[80],"Markov":[81],"processes":[83],"model":[84,102],"with":[85],"predicting":[86],"proposed":[89],"as":[90],"sequential":[91],"making":[93],"model.":[94],"Q-learning":[96],"investigated":[99],"find":[104],"optimal":[105],"joint":[106],"policy.":[107],"The":[108],"experimental":[109],"evaluations":[110],"show":[111],"that":[112],"works":[115],"well":[116],"congestion":[118],"control":[119],"in":[120],"transportation":[121],"system.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
