{"id":"https://openalex.org/W2151831402","doi":"https://doi.org/10.1145/2480362.2480419","title":"Mining frequent itemsets over tuple-evolving data streams","display_name":"Mining frequent itemsets over tuple-evolving data streams","publication_year":2013,"publication_date":"2013-03-18","ids":{"openalex":"https://openalex.org/W2151831402","doi":"https://doi.org/10.1145/2480362.2480419","mag":"2151831402"},"language":"en","primary_location":{"id":"doi:10.1145/2480362.2480419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2480362.2480419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"preprint","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/A5091464412","display_name":"Chongsheng Zhang","orcid":"https://orcid.org/0000-0003-1632-7238"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chongsheng Zhang","raw_affiliation_strings":["Henan University, Kaifeng, China"],"affiliations":[{"raw_affiliation_string":"Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041604899","display_name":"Mirjana Mazuran","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirjana Mazuran","raw_affiliation_strings":["Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103068308","display_name":"Hamid Mousavi","orcid":null},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"funder","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamid Mousavi","raw_affiliation_strings":["UCLA, Los Angeles"],"affiliations":[{"raw_affiliation_string":"UCLA, Los Angeles","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090354249","display_name":"Hao Yuan","orcid":"https://orcid.org/0000-0003-3269-3326"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Hao","raw_affiliation_strings":["University of Science and Technology Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113467760","display_name":"Carlo Zaniolo","orcid":null},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"funder","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlo Zaniolo","raw_affiliation_strings":["UCLA, Los Angeles"],"affiliations":[{"raw_affiliation_string":"UCLA, Los Angeles","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045185842","display_name":"Florent Mass\u00e9glia","orcid":"https://orcid.org/0000-0002-1149-585X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florent Masseglia","raw_affiliation_strings":["Zenith team, INRIA, Montpellier, France"],"affiliations":[{"raw_affiliation_string":"Zenith team, INRIA, Montpellier, France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091464412"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.20856393,"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":"267","last_page":"274"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9872000217437744,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9814000129699707,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.9631354808807373},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.8604161739349365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8071234226226807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7481981515884399},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6740678548812866},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.5306711792945862},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.5203099250793457},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.47635984420776367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08509567379951477},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.05497327446937561}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.9631354808807373},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.8604161739349365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071234226226807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7481981515884399},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6740678548812866},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.5306711792945862},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.5203099250793457},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.47635984420776367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08509567379951477},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.05497327446937561},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2480362.2480419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2480362.2480419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.564.4430","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.564.4430","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/p267-zhang.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-02098365v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-02098365","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019","raw_type":"Software"},{"id":"pmh:oai:HAL:lirmm-00830923v1","is_oa":false,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-00830923","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.acm.org/conferences/sac/sac2013/","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313934","display_name":"Institut national de recherche en informatique et en automatique (INRIA)","ror":"https://ror.org/02kvxyf05"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1561843061","https://openalex.org/W1569347009","https://openalex.org/W1992833820","https://openalex.org/W1995299500","https://openalex.org/W1996869586","https://openalex.org/W2001474264","https://openalex.org/W2004110412","https://openalex.org/W2045646326","https://openalex.org/W2064853889","https://openalex.org/W2101717554","https://openalex.org/W2111091497","https://openalex.org/W2137901744","https://openalex.org/W2141375582","https://openalex.org/W2145813311","https://openalex.org/W2153924090","https://openalex.org/W2157469509","https://openalex.org/W2293888039","https://openalex.org/W2561675875","https://openalex.org/W4252403066","https://openalex.org/W6628750762"],"related_works":["https://openalex.org/W4389449520","https://openalex.org/W2157032266","https://openalex.org/W2949310134","https://openalex.org/W2151831402","https://openalex.org/W2060628068","https://openalex.org/W4246591448","https://openalex.org/W2743735673","https://openalex.org/W2167004500","https://openalex.org/W3208495060","https://openalex.org/W1981058017"],"abstract_inverted_index":{"In":[0],"many":[1],"data":[2,18,27],"streaming":[3],"applications":[4],"today,":[5],"tuples":[6,60,78],"inside":[7,61],"the":[8,26,62,76,80,94,104],"streams":[9,63],"may":[10],"get":[11],"revised":[12],"over":[13,42],"time.":[14],"This":[15],"type":[16],"of":[17,96,108],"stream":[19],"brings":[20],"new":[21],"issues":[22],"and":[23,79,106],"challenges":[24],"to":[25],"mining":[28,36],"tasks.":[29],"We":[30,45,67],"present":[31],"a":[32,87],"theoretical":[33],"analysis":[34],"for":[35,73],"frequent":[37,56,82],"itemsets":[38],"from":[39],"sliding":[40],"windows":[41],"such":[43],"data.":[44],"define":[46],"conditions":[47],"that":[48,91],"determine":[49],"whether":[50],"an":[51],"infrequent":[52],"itemset":[53],"will":[54],"become":[55],"when":[57],"some":[58],"existing":[59],"have":[64],"been":[65],"updated.":[66],"design":[68],"simple":[69],"but":[70],"effective":[71],"structures":[72],"managing":[74],"both":[75],"evolving":[77],"candidate":[81,97],"itemsets.":[83,98],"Moreover,":[84],"we":[85],"provide":[86],"novel":[88],"verification":[89],"method":[90],"efficiently":[92],"computes":[93],"counts":[95],"Experiments":[99],"on":[100],"real-world":[101],"datasets":[102],"show":[103],"efficiency":[105],"effectiveness":[107],"our":[109],"proposed":[110],"method.":[111]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}