{"id":"https://openalex.org/W2111091497","doi":"https://doi.org/10.1109/icde.2008.4497426","title":"Verifying and Mining Frequent Patterns from Large Windows over Data Streams","display_name":"Verifying and Mining Frequent Patterns from Large Windows over Data Streams","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2111091497","doi":"https://doi.org/10.1109/icde.2008.4497426","mag":"2111091497"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2008.4497426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","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/A5060287971","display_name":"Barzan Mozafari","orcid":"https://orcid.org/0000-0002-3581-3875"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Barzan Mozafari","raw_affiliation_strings":["Computer Science Department, University of California, Los Angeles, CA, USA","Computer Science Department - University of California, Los Angeles, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Computer Science Department - University of California, Los Angeles, CA#TAB#","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108525858","display_name":"Hetal Thakkar","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hetal Thakkar","raw_affiliation_strings":["Computer Science Department, University of California, Los Angeles, CA, USA","Computer Science Department - University of California, Los Angeles, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Computer Science Department - University of California, Los Angeles, CA#TAB#","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113467760","display_name":"Carlo Zaniolo","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlo Zaniolo","raw_affiliation_strings":["Computer Science Department, University of California, Los Angeles, CA, USA","Computer Science Department - University of California, Los Angeles, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Computer Science Department - University of California, Los Angeles, CA#TAB#","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060287971"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":27.9912,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.99526578,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9884999990463257,"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":0.8326433897018433},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7587114572525024},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7242328524589539},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.7086329460144043},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6218470931053162},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6036334037780762},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4683994948863983},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.445426344871521},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.41814297437667847},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22211891412734985},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08131560683250427},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07220470905303955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8326433897018433},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7587114572525024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7242328524589539},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.7086329460144043},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6218470931053162},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6036334037780762},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4683994948863983},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.445426344871521},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.41814297437667847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22211891412734985},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08131560683250427},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07220470905303955}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2008.4497426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2008.4497426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 24th International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.141.6060","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.6060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucla.edu/~zaniolo/papers/ICDE08_conference_0213.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3432343535","display_name":"SGER: Efficient Support for Mining Queries in Data Stream Management Systems","funder_award_id":"0742267","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W110175884","https://openalex.org/W1506285740","https://openalex.org/W1525398599","https://openalex.org/W1537336823","https://openalex.org/W1563151522","https://openalex.org/W1569347009","https://openalex.org/W1597561788","https://openalex.org/W1641039719","https://openalex.org/W1977496278","https://openalex.org/W2025190917","https://openalex.org/W2030969394","https://openalex.org/W2037965136","https://openalex.org/W2044541009","https://openalex.org/W2048105574","https://openalex.org/W2064853889","https://openalex.org/W2101717554","https://openalex.org/W2111091497","https://openalex.org/W2114506861","https://openalex.org/W2123426165","https://openalex.org/W2128817530","https://openalex.org/W2130099852","https://openalex.org/W2138101451","https://openalex.org/W2154642793","https://openalex.org/W2168196587","https://openalex.org/W2169474320","https://openalex.org/W2171612826","https://openalex.org/W4248966671","https://openalex.org/W4252403066","https://openalex.org/W6604443778","https://openalex.org/W6630198464","https://openalex.org/W6631267545","https://openalex.org/W6633866713","https://openalex.org/W6635637936","https://openalex.org/W6636681434","https://openalex.org/W6677150364","https://openalex.org/W6679028080","https://openalex.org/W6682837551"],"related_works":["https://openalex.org/W4360995307","https://openalex.org/W2167004500","https://openalex.org/W2141008330","https://openalex.org/W2059461309","https://openalex.org/W1572762191","https://openalex.org/W2375516608","https://openalex.org/W2106570241","https://openalex.org/W3207785250","https://openalex.org/W4382459699","https://openalex.org/W6445124"],"abstract_inverted_index":{"Mining":[0],"frequent":[1,51,97],"itemsets":[2],"from":[3],"data":[4],"streams":[5],"has":[6],"proved":[7],"to":[8,35,77],"be":[9,107],"very":[10],"difficult":[11],"because":[12],"of":[13,39,84,95],"computational":[14],"complexity":[15],"and":[16,41],"the":[17,37,62,78,82],"need":[18],"for":[19,44,55],"real-time":[20],"response.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25,32,48],"introduce":[26],"a":[27,50],"novel":[28],"verification":[29,122],"algorithm":[30],"which":[31,58],"then":[33],"use":[34],"improve":[36],"performance":[38,94],"monitoring":[40],"mining":[42,53,83,99],"tasks":[43],"association":[45],"rules.":[46],"Thus,":[47],"propose":[49],"itemset":[52,98],"method":[54],"sliding":[56],"windows,":[57],"is":[59,72],"faster":[60],"than":[61,88],"state-of-the-art":[63],"methods":[64,100,114],"-":[65],"in":[66],"fact,":[67],"its":[68],"running":[69],"time":[70],"that":[71],"nearly":[73],"constant":[74],"with":[75],"respect":[76],"window":[79],"size":[80],"entails":[81],"much":[85],"larger":[86],"windows":[87],"it":[89],"was":[90],"possible":[91],"before.":[92],"The":[93],"other":[96],"(including":[101],"those":[102,116],"on":[103],"static":[104],"data)":[105],"can":[106],"improved":[108],"likewise,":[109],"by":[110,120],"replacing":[111],"their":[112],"counting":[113],"(e.g.,":[115],"using":[117],"hash":[118],"trees)":[119],"our":[121],"algorithm.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":10}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
