{"id":"https://openalex.org/W4404180463","doi":"https://doi.org/10.1109/ngdn61651.2024.10744172","title":"Efficient Complex Event Processing Over Concurrent Event Streams","display_name":"Efficient Complex Event Processing Over Concurrent Event Streams","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4404180463","doi":"https://doi.org/10.1109/ngdn61651.2024.10744172"},"language":"en","primary_location":{"id":"doi:10.1109/ngdn61651.2024.10744172","doi":"https://doi.org/10.1109/ngdn61651.2024.10744172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ngdn61651.2024.10744172","pdf_url":null,"source":{"id":"https://openalex.org/S7407096385","display_name":"International Conference on Next Generation Data-driven Networks (NGDN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Sixth International Conference on Next Generation Data-driven Networks (NGDN)","raw_type":"proceedings-article"},"volume":null,"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":null,"display_name":"Yidi Yan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidi Yan","raw_affiliation_strings":["Shenyang Aerospace University,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University,Shenyang,China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115596907","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-3588-4702","observed_orcids":["https://orcid.org/0000-0002-3588-4702","https://orcid.org/0009-0000-1062-0818","https://orcid.org/0000-0002-1534-010X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Avic Shenyang Aircraft Company Limited,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Avic Shenyang Aircraft Company Limited,Shenyang,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108956365","display_name":"Guopeng Deng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guopeng Deng","raw_affiliation_strings":["Avic Shenyang Aircraft Company Limited,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Avic Shenyang Aircraft Company Limited,Shenyang,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101536898","display_name":"Yao Sun","orcid":"https://orcid.org/0000-0002-1163-9630","observed_orcids":["https://orcid.org/0000-0002-1163-9630","https://orcid.org/0009-0005-2126-7999"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao Sun","raw_affiliation_strings":["Avic Shenyang Aircraft Company Limited,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Avic Shenyang Aircraft Company Limited,Shenyang,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007388157","display_name":"Tao Qiu","orcid":"https://orcid.org/0000-0002-1410-7795","observed_orcids":["https://orcid.org/0000-0002-1410-7795"]},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Qiu","raw_affiliation_strings":["Shenyang Aerospace University,Shenyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University,Shenyang,China","institution_ids":["https://openalex.org/I125904092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4378,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54905636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9961000084877014,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9961000084877014,"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/T11106","display_name":"Data Management and Algorithms","score":0.0008999999845400453,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.0007999999797903001,"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/complex-event-processing","display_name":"complex event processing","score":1.0},{"id":"https://openalex.org/keywords/simultaneous-events","display_name":"simultaneous events","score":0.7089999914169312},{"id":"https://openalex.org/keywords/finite-state-machines","display_name":"finite automata","score":0.8289999961853027},{"id":"https://openalex.org/keywords/event-discovery","display_name":"event discovery","score":0.6600000262260437},{"id":"https://openalex.org/keywords/query-efficiency","display_name":"query efficiency","score":0.7620000243186951}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514342665672302},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6622539758682251},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.6564393043518066},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6305778622627258},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3460635542869568},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20494884252548218},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13316193222999573},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.08034771680831909},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ngdn61651.2024.10744172","doi":"https://doi.org/10.1109/ngdn61651.2024.10744172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ngdn61651.2024.10744172","pdf_url":null,"source":{"id":"https://openalex.org/S7407096385","display_name":"International Conference on Next Generation Data-driven Networks (NGDN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Sixth International Conference on Next Generation Data-driven Networks (NGDN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W79504326","https://openalex.org/W2010801412","https://openalex.org/W2143792095","https://openalex.org/W2153753043","https://openalex.org/W2964273806","https://openalex.org/W3084178660","https://openalex.org/W3183842081","https://openalex.org/W3198457793","https://openalex.org/W4306893602","https://openalex.org/W4361267585","https://openalex.org/W4380791355","https://openalex.org/W7028277914"],"related_works":["https://openalex.org/W4400909827","https://openalex.org/W7160725661","https://openalex.org/W2336172432","https://openalex.org/W4324128461","https://openalex.org/W2888808968","https://openalex.org/W2116758339","https://openalex.org/W4404126166","https://openalex.org/W4281951456","https://openalex.org/W2090755957","https://openalex.org/W2889687300"],"abstract_inverted_index":{"We":[0,120],"study":[1],"the":[2,9,18,21,24,32,39,50,54,56,61,72,80,87,91,99,122,127,133,144,155],"problem":[3,15],"of":[4,34,101,125],"Complex":[5],"Event":[6],"Processing":[7],"from":[8],"event":[10,81,118,170],"streams.Existing":[11],"methods":[12,58],"solve":[13],"this":[14,105],"based":[16],"on":[17],"assumption":[19],"that":[20,79,147],"events":[22,40,48,73,93,115,149,167],"in":[23,53],"stream":[25],"do":[26],"not":[27,94],"occur":[28,42],"concurrently.":[29],"Due":[30],"to":[31,66,74,90,112,131],"application":[33],"concurrent":[35,102,117,156,169],"data":[36],"acquisition":[37],"techniques,":[38],"could":[41,46],"concurrently,":[43],"i.e.,":[44],"there":[45],"exist":[47],"with":[49],"same":[51],"timestamps":[52,77],"stream.However,":[55],"existing":[57],"generally":[59],"utilize":[60],"finite":[62,128],"state":[63,129],"automaton-based":[64],"technique":[65,123],"discover":[67,113,165],"complex":[68,92,114,134,148,166],"events,":[69],"which":[70],"requires":[71],"have":[75],"distinct":[76],"so":[78,146],"sequences":[82],"can":[83,150,163],"be":[84,151],"processed":[85],"by":[86],"automaton,":[88],"leading":[89],"being":[95],"discovered":[96,153],"correctly":[97,152],"under":[98],"scenario":[100],"events.":[103,157],"In":[104],"paper,":[106],"we":[107,137],"propose":[108],"an":[109,139],"efficient":[110,140],"method":[111,142,162],"over":[116,154,168],"streams.":[119],"follow":[121],"route":[124],"using":[126],"automaton":[130,145],"represent":[132],"event,":[135],"while":[136],"design":[138],"matching":[141],"for":[143],"Experimental":[158],"results":[159],"show":[160],"our":[161],"accurately":[164],"streams":[171],"without":[172],"sacrificing":[173],"query":[174],"efficiency.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2024-11-09T00:00:00"}
