{"id":"https://openalex.org/W2169855356","doi":"https://doi.org/10.14778/1687627.1687726","title":"A shared execution strategy for multiple pattern mining requests over streaming data","display_name":"A shared execution strategy for multiple pattern mining requests over streaming data","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2169855356","doi":"https://doi.org/10.14778/1687627.1687726","mag":"2169855356"},"language":"en","primary_location":{"id":"doi:10.14778/1687627.1687726","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1687627.1687726","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5013719632","display_name":"Di Yang","orcid":"https://orcid.org/0000-0002-7964-7872"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Di Yang","raw_affiliation_strings":["Worcester Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008269094","display_name":"Elke A. Rundensteiner","orcid":"https://orcid.org/0000-0001-5375-9254"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elke A. Rundensteiner","raw_affiliation_strings":["Worcester Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102773082","display_name":"Matthew O. Ward","orcid":"https://orcid.org/0000-0002-3080-2579"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew O. Ward","raw_affiliation_strings":["Worcester Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013719632"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":2.8971,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91899445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"1","first_page":"874","last_page":"885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9988999962806702,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9986000061035156,"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":0.8380434513092041},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6892349123954773},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5952281355857849},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5813632011413574},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5574406385421753},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.5365797281265259},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5247148275375366},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.41538023948669434},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.41362494230270386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1524597406387329}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8380434513092041},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6892349123954773},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5952281355857849},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5813632011413574},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5574406385421753},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.5365797281265259},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5247148275375366},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.41538023948669434},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41362494230270386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1524597406387329},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/1687627.1687726","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1687627.1687726","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.643.1516","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.1516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/2/vldb09-856.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W182707955","https://openalex.org/W1495986321","https://openalex.org/W1530595269","https://openalex.org/W1673310716","https://openalex.org/W1977556410","https://openalex.org/W2067914441","https://openalex.org/W2085426673","https://openalex.org/W2092335550","https://openalex.org/W2095897464","https://openalex.org/W2099395665","https://openalex.org/W2100832675","https://openalex.org/W2118542209","https://openalex.org/W2124507579","https://openalex.org/W2143819160","https://openalex.org/W2150693557","https://openalex.org/W2151968644","https://openalex.org/W2170936641","https://openalex.org/W2342332897","https://openalex.org/W4231029117"],"related_works":["https://openalex.org/W4389449520","https://openalex.org/W4281572076","https://openalex.org/W1965676450","https://openalex.org/W4224062203","https://openalex.org/W2205964444","https://openalex.org/W4205208899","https://openalex.org/W2172283861","https://openalex.org/W2487681796","https://openalex.org/W59475286","https://openalex.org/W4388184255"],"abstract_inverted_index":{"In":[0,42],"diverse":[1],"applications":[2],"ranging":[3],"from":[4,222],"stock":[5,225],"trading":[6],"to":[7],"traffic":[8],"monitoring,":[9,230],"popular":[10],"data":[11,220,278],"streams":[12,221],"are":[13],"typically":[14],"monitored":[15],"by":[16,80,139,164],"multiple":[17,84],"analysts":[18,24],"for":[19,52,103],"patterns":[20],"of":[21,57,71,98,123,155,209,224,265,270],"interest.":[22],"These":[23],"may":[25],"submit":[26],"similar":[27],"pattern":[28],"mining":[29],"requests,":[30],"such":[31,85],"as":[32,112,193],"cluster":[33,59,136,161,191],"detection":[34,60],"queries,":[35,166],"yet":[36],"customized":[37],"with":[38,62,120,141],"different":[39,104,142,165],"parameter":[40,64],"settings.":[41,65],"this":[43,177],"work,":[44],"we":[45,130,180],"present":[46],"an":[47],"efficient":[48],"shared":[49],"execution":[50],"strategy":[51],"processing":[53],"a":[54,88,182],"large":[55,263],"number":[56],"density-based":[58],"queries":[61,86,105,140,266],"arbitrary":[63],"Given":[66],"the":[67,72,76,121,124,132,135,153,156,160,169,241,268],"high":[68,276],"algorithmic":[69],"complexity":[70],"clustering":[73],"process":[74],"and":[75,100,148,167,198,211,227],"real-time":[77],"responsiveness":[78],"required":[79],"streaming":[81],"applications,":[82],"serving":[83],"in":[87,110,206,251,261],"single":[89,195],"system":[90,116],"is":[91,107,234],"extremely":[92],"resource":[93],"intensive.":[94],"The":[95],"naive":[96],"method":[97],"detecting":[99],"maintaining":[101],"clusters":[102],"independently":[106],"often":[108],"in-feasible":[109],"practice,":[111],"its":[113],"demands":[114],"on":[115,202,235,267],"resources":[117],"increase":[118],"dramatically":[119],"cardinality":[122],"query":[125],"workload.":[126],"To":[127],"overcome":[128],"this,":[129],"analyze":[131],"interrelations":[133],"between":[134],"sets":[137,162,192],"identified":[138,163,190],"parameters":[143],"settings,":[144],"including":[145],"both":[146],"pattern-specific":[147],"window-specific":[149],"parameters.":[150],"We":[151],"introduce":[152],"notion":[154],"growth":[157,178],"property":[158,179],"among":[159],"characterize":[168],"conditions":[170],"under":[171,275],"which":[172,188],"it":[173],"holds.":[174],"By":[175],"exploiting":[176],"propose":[181],"uniform":[183],"solution,":[184],"called":[185],"Chandi":[186,233,259],",":[187],"represents":[189],"one":[194],"compact":[196],"structure":[197],"performs":[199],"integrated":[200],"maintenance":[201],"them":[203],"--":[204],"resulting":[205],"significant":[207],"sharing":[208],"computational":[210],"memory":[212,249],"resources.":[213],"Our":[214],"comprehensive":[215],"experimental":[216],"study,":[217],"using":[218,246],"real":[219],"domains":[223],"trades":[226],"moving":[228],"object":[229],"demonstrates":[231],"that":[232,258],"average":[236],"four":[237],"times":[238],"faster":[239],"than":[240],"best":[242],"alternative":[243],"methods,":[244],"while":[245],"85%":[247],"less":[248],"space":[250],"our":[252],"test":[253],"cases.":[254],"It":[255],"also":[256],"shows":[257],"scales":[260],"handling":[262],"numbers":[264],"order":[269],"hundreds":[271],"or":[272],"even":[273],"thousands":[274],"input":[277],"rates.":[279]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
