{"id":"https://openalex.org/W1990240966","doi":"https://doi.org/10.1109/icde.2014.6816665","title":"Adaptive parallel compressed event matching","display_name":"Adaptive parallel compressed event matching","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W1990240966","doi":"https://doi.org/10.1109/icde.2014.6816665","mag":"1990240966"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2014.6816665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2014.6816665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering","raw_type":"proceedings-article"},"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":"https://openalex.org/A5074420391","display_name":"Mohammad Sadoghi","orcid":"https://orcid.org/0000-0003-2779-6080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Sadoghi","raw_affiliation_strings":["IBM T.J. Watson Research Center","IBM T. J. Watson Research Center, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center","institution_ids":[]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072791865","display_name":"Hans\u2010Arno Jacobsen","orcid":"https://orcid.org/0000-0003-0813-0101"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hans-Arno Jacobsen","raw_affiliation_strings":["Middleware Systems Research Group, University of Toronto","Middleware Systems Research Group University of Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Middleware Systems Research Group, University of Toronto","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Middleware Systems Research Group University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7454,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65052719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"364","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8436123132705688},{"id":"https://openalex.org/keywords/complex-event-processing","display_name":"Complex event processing","score":0.7635445594787598},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.673986554145813},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.5154607892036438},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4952174723148346},{"id":"https://openalex.org/keywords/parallel-processing","display_name":"Parallel processing","score":0.47479337453842163},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4162021577358246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4148692190647125},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4079901874065399},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3522535562515259},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32955458760261536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8436123132705688},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.7635445594787598},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.673986554145813},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.5154607892036438},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4952174723148346},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.47479337453842163},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4162021577358246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4148692190647125},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4079901874065399},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3522535562515259},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32955458760261536},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"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/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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2014.6816665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2014.6816665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 30th International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.720.3103","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.720.3103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.msrg.org/publications/pdf_files/2014/parallelbetree-Adaptive_Parallel_Compressed_E.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1742791822","https://openalex.org/W1974715273","https://openalex.org/W1978010829","https://openalex.org/W1998663979","https://openalex.org/W2008632807","https://openalex.org/W2017988065","https://openalex.org/W2020493833","https://openalex.org/W2024329410","https://openalex.org/W2027420911","https://openalex.org/W2037289266","https://openalex.org/W2055839530","https://openalex.org/W2062482216","https://openalex.org/W2067580069","https://openalex.org/W2067642869","https://openalex.org/W2106642566","https://openalex.org/W2134117817","https://openalex.org/W2146032463","https://openalex.org/W2147717514","https://openalex.org/W2157352291","https://openalex.org/W2170037597","https://openalex.org/W2171177618","https://openalex.org/W3140806200","https://openalex.org/W6629956336","https://openalex.org/W6684859107","https://openalex.org/W6685012337"],"related_works":["https://openalex.org/W2151632549","https://openalex.org/W2115923045","https://openalex.org/W1993099704","https://openalex.org/W2485519026","https://openalex.org/W3126851503","https://openalex.org/W2225706042","https://openalex.org/W2620931916","https://openalex.org/W4241955046","https://openalex.org/W2492900795","https://openalex.org/W2915399950"],"abstract_inverted_index":{"The":[0],"efficient":[1],"processing":[2,27,84,95,177],"of":[3,6,126,142,161],"large":[4],"collections":[5],"patterns":[7],"expressed":[8],"as":[9,58],"Boolean":[10,182],"expressions":[11],"over":[12],"event":[13,89,94,110,116,132,153,159,169],"streams":[14],"plays":[15],"a":[16],"central":[17],"role":[18],"in":[19,67],"major":[20],"data":[21,32,69],"intensive":[22],"applications":[23,66],"ranging":[24],"from":[25],"user-centric":[26,39],"and":[28,44,50,77,86,114],"personalization":[29],"to":[30,52,163,179],"real-time":[31,68],"analysis.":[33],"On":[34,62],"the":[35,55,63,99,140,149],"one":[36],"hand,":[37,65],"emerging":[38],"applications,":[40],"including":[41,71],"computational":[42,75],"advertising":[43],"selective":[45],"information":[46],"dissemination,":[47],"demand":[48,80],"determining":[49],"presenting":[51],"an":[53,123,158],"end-user":[54],"relevant":[56],"content":[57],"it":[59],"is":[60],"published.":[61],"other":[64],"analysis,":[70],"push-based":[72],"multi-query":[73],"optimization,":[74],"finance":[76],"intrusion":[78],"detection,":[79],"meeting":[81],"stringent":[82],"subsecond":[83],"requirements":[85,96],"providing":[87],"high-frequency":[88],"processing.":[90,133],"We":[91,146],"achieve":[92],"these":[93],"by":[97,104],"exploiting":[98],"shift":[100],"towards":[101],"multi-core":[102],"architectures":[103],"proposing":[105],"novel":[106],"adaptive":[107,150],"parallel":[108,131,151],"compressed":[109,152],"matching":[111,154,170],"algorithm":[112,155],"(A-PCM)":[113],"online":[115],"stream":[117],"re-ordering":[118],"technique":[119],"(OSR)":[120],"that":[121,148],"unleash":[122],"unprecedented":[124],"degree":[125],"parallelism":[127],"amenable":[128],"for":[129],"highly":[130],"In":[134],"our":[135,143],"comprehensive":[136],"evaluation,":[137],"we":[138],"demonstrate":[139],"efficiency":[141],"proposed":[144],"techniques.":[145],"show":[147],"can":[156],"sustain":[157],"rate":[160],"up":[162,178],"233,863":[164],"events/second":[165,175],"while":[166],"state-of-the-art":[167],"sequential":[168],"algorithms":[171],"sustains":[172],"only":[173],"36":[174],"when":[176],"five":[180],"million":[181],"expressions.":[183]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
