{"id":"https://openalex.org/W2930137567","doi":"https://doi.org/10.1109/bigcomp.2019.8679331","title":"Regular Expression Pattern Matching with Sliding Windows cover Probabilistic Event Streams","display_name":"Regular Expression Pattern Matching with Sliding Windows cover Probabilistic Event Streams","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2930137567","doi":"https://doi.org/10.1109/bigcomp.2019.8679331","mag":"2930137567"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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/A5113795541","display_name":"Kento Sugiura","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kento Sugiura","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108249173","display_name":"Yoshiharu Ishikawa","orcid":"https://orcid.org/0000-0003-1368-7684"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiharu Ishikawa","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113795541"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.1768,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5079175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9979000091552734,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.996399998664856,"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/regular-expression","display_name":"Regular expression","score":0.744384765625},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.7096186876296997},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.7039175033569336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6664232015609741},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6436775922775269},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5343664288520813},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5256580114364624},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.483748197555542},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.45159292221069336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3406040668487549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14461183547973633},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12702101469039917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12329375743865967},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11549535393714905},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10281002521514893}],"concepts":[{"id":"https://openalex.org/C121329065","wikidata":"https://www.wikidata.org/wiki/Q185612","display_name":"Regular expression","level":2,"score":0.744384765625},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.7096186876296997},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.7039175033569336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6664232015609741},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6436775922775269},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5343664288520813},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5256580114364624},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.483748197555542},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.45159292221069336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3406040668487549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14461183547973633},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12702101469039917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12329375743865967},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11549535393714905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10281002521514893},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W79504326","https://openalex.org/W1491178396","https://openalex.org/W1966789172","https://openalex.org/W1973026225","https://openalex.org/W1984870541","https://openalex.org/W1996544809","https://openalex.org/W2002089154","https://openalex.org/W2064352477","https://openalex.org/W2081720243","https://openalex.org/W2110478464","https://openalex.org/W2153836901","https://openalex.org/W2166604013","https://openalex.org/W2171764160","https://openalex.org/W2460055519","https://openalex.org/W2592635417","https://openalex.org/W2599495441","https://openalex.org/W2740620268","https://openalex.org/W2868310449","https://openalex.org/W3103512656","https://openalex.org/W4302339081","https://openalex.org/W6603182501"],"related_works":["https://openalex.org/W1774017438","https://openalex.org/W2123199373","https://openalex.org/W4246925412","https://openalex.org/W2083577879","https://openalex.org/W4205780093","https://openalex.org/W2109464334","https://openalex.org/W2031647786","https://openalex.org/W2052853109","https://openalex.org/W2100501061","https://openalex.org/W1492858093"],"abstract_inverted_index":{"As":[0],"smartphones":[1],"and":[2,47,136,160,165],"IoT":[3],"devices":[4],"become":[5],"widespread,":[6],"event":[7,29,38,99],"streams,":[8,30],"which":[9],"are":[10],"continuous":[11],"analysis":[12,51],"results":[13,157],"of":[14,21,28,44,50,59,76,153,167],"sensing":[15,45],"data,":[16],"have":[17],"received":[18],"a":[19,81,90,119,132,154],"Iot":[20],"attention.":[22],"When":[23],"we":[24,111,143],"consider":[25],"the":[26,42,48,57,73,95,138,149],"utilization":[27],"it":[31],"is":[32,67],"important":[33],"to":[34,41,71,147],"deal":[35],"with":[36,63,80],"probabilistic":[37],"streams":[39],"due":[40],"noises":[43],"data":[46],"limitation":[49],"techniques.":[52],"Although":[53],"existing":[54,86],"methods":[55,87],"proposed":[56],"monitoring":[58],"time":[60,77,97,104],"series":[61,78,98],"events":[62,79],"regular":[64],"expressions,":[65],"there":[66],"no":[68],"efficient":[69,114],"method":[70,116,130],"calculate":[72,125],"occurrence":[74,126],"probabilities":[75,127],"sliding":[82],"window.":[83],"That":[84],"is,":[85],"cannot":[88],"answer":[89],"query":[91],"such":[92],"as":[93],"\u201cdoes":[94],"specified":[96],"occur":[100],"in":[101,108],"last":[102],"w":[103],"steps?\u201d":[105],"efficiently.":[106],"Thus,":[107],"this":[109],"paper,":[110],"propose":[112],"an":[113],"calculation":[115,140],"by":[117],"using":[118,158],"deterministic":[120],"finite":[121],"automaton":[122],"(DFA).":[123],"To":[124],"efficiently,":[128],"our":[129,168],"divide":[131],"window":[133],"into":[134],"chunks":[135],"reuse":[137],"previous":[139],"results.":[141],"Besides,":[142],"apply":[144],"lazy":[145],"evaluation":[146],"solve":[148],"state":[150],"explosion":[151],"problem":[152],"DFA.":[155],"Experimental":[156],"real":[159],"synthetic":[161],"datasets":[162],"demonstrate":[163],"effectiveness":[164],"efficiency":[166],"approach.":[169]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
