{"id":"https://openalex.org/W2060324268","doi":"https://doi.org/10.1007/s00778-009-0172-z","title":"Methods for finding frequent items in data streams","display_name":"Methods for finding frequent items in data streams","publication_year":2009,"publication_date":"2009-11-30","ids":{"openalex":"https://openalex.org/W2060324268","doi":"https://doi.org/10.1007/s00778-009-0172-z","mag":"2060324268"},"language":"en","primary_location":{"id":"doi:10.1007/s00778-009-0172-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-009-0172-z","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","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/A5031896681","display_name":"Graham Cormode","orcid":"https://orcid.org/0000-0002-0698-0922"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Graham Cormode","raw_affiliation_strings":["AT&T Labs\u2013Research, Florham Park, NJ, USA","AT&T Laboratories--Research, Florham Park, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs\u2013Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Laboratories--Research, Florham Park, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058831095","display_name":"Marios Hadjieleftheriou","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marios Hadjieleftheriou","raw_affiliation_strings":["AT&T Labs\u2013Research, Florham Park, NJ, USA","AT&T Laboratories--Research, Florham Park, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs\u2013Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Laboratories--Research, Florham Park, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":11.6465,"has_fulltext":false,"cited_by_count":163,"citation_normalized_percentile":{"value":0.98236843,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"19","issue":"1","first_page":"3","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.998199999332428,"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":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.8563797473907471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7290268540382385},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.581915020942688},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.5591076016426086},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5308911204338074},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5197350978851318},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.493929922580719},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.477100670337677},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.47363346815109253},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4628099501132965},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33504632115364075},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1511763036251068},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08640387654304504},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07250699400901794}],"concepts":[{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.8563797473907471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7290268540382385},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.581915020942688},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.5591076016426086},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5308911204338074},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5197350978851318},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.493929922580719},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.477100670337677},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.47363346815109253},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4628099501132965},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33504632115364075},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1511763036251068},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08640387654304504},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07250699400901794},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00778-009-0172-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-009-0172-z","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.187.9800","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.9800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.att.com/people/Cormode_Graham/library/publications/CormodeHadjieleftheriou09b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2540670","https://openalex.org/W31696346","https://openalex.org/W139562302","https://openalex.org/W1489091404","https://openalex.org/W1493892051","https://openalex.org/W1553409264","https://openalex.org/W1584212476","https://openalex.org/W1601184934","https://openalex.org/W1634257591","https://openalex.org/W1675727887","https://openalex.org/W1766932551","https://openalex.org/W1965972569","https://openalex.org/W1977951613","https://openalex.org/W2001474264","https://openalex.org/W2004110412","https://openalex.org/W2004154913","https://openalex.org/W2006355640","https://openalex.org/W2011918288","https://openalex.org/W2039852170","https://openalex.org/W2049282244","https://openalex.org/W2050290319","https://openalex.org/W2058858139","https://openalex.org/W2069980026","https://openalex.org/W2075567379","https://openalex.org/W2080234606","https://openalex.org/W2080745194","https://openalex.org/W2109464129","https://openalex.org/W2112452856","https://openalex.org/W2113139394","https://openalex.org/W2119714163","https://openalex.org/W2122529145","https://openalex.org/W2126922390","https://openalex.org/W2129638195","https://openalex.org/W2130297445","https://openalex.org/W2150569458","https://openalex.org/W2152637787","https://openalex.org/W2154096150","https://openalex.org/W2158282736","https://openalex.org/W2161118867","https://openalex.org/W2166290564","https://openalex.org/W2167450247","https://openalex.org/W2170963089","https://openalex.org/W2296616510","https://openalex.org/W2562755098","https://openalex.org/W2621193479","https://openalex.org/W4235817903","https://openalex.org/W4237741859","https://openalex.org/W4249843299"],"related_works":["https://openalex.org/W4293083682","https://openalex.org/W4389449520","https://openalex.org/W2061507057","https://openalex.org/W127192698","https://openalex.org/W2570600173","https://openalex.org/W2893008024","https://openalex.org/W2743735673","https://openalex.org/W4361801939","https://openalex.org/W2360131081","https://openalex.org/W2985941356"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
