{"id":"https://openalex.org/W4282982938","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882692","title":"Massive Data Exploration using Estimated Cardinalities","display_name":"Massive Data Exploration using Estimated Cardinalities","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4282982938","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882692"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee55066.2022.9882692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882692","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5084812552","display_name":"Pierre Nerzic","orcid":null},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Nerzic","raw_affiliation_strings":["Universit&#x00E9; de Rennes 1,IRISA,Lannion,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Rennes 1,IRISA,Lannion,France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045833443","display_name":"Gr\u00e9gory Smits","orcid":"https://orcid.org/0000-0002-0436-9273"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gregory Smits","raw_affiliation_strings":["Universit&#x00E9; de Rennes 1,IRISA,Lannion,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Rennes 1,IRISA,Lannion,France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055310601","display_name":"Olivier Pivert","orcid":"https://orcid.org/0000-0003-4103-5819"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Pivert","raw_affiliation_strings":["Universit&#x00E9; de Rennes 1,IRISA,Lannion,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Rennes 1,IRISA,Lannion,France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075900406","display_name":"Marie\u2010Jeanne Lesot","orcid":"https://orcid.org/0000-0002-3604-6647"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marie-Jeanne Lesot","raw_affiliation_strings":["Sorbonne Universit&#x00E9; CNRS,Paris,France,LIP6 F-75005"],"affiliations":[{"raw_affiliation_string":"Sorbonne Universit&#x00E9; CNRS,Paris,France,LIP6 F-75005","institution_ids":["https://openalex.org/I4210159731","https://openalex.org/I1294671590","https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084812552"],"corresponding_institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":0.1455,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36441415,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.998199999332428,"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":0.998199999332428,"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":0.9973000288009644,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9959999918937683,"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":0.7876282930374146},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6972975730895996},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6047304272651672},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5762974619865417},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.556769073009491},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5224267840385437},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4613414406776428},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32798898220062256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2700939178466797},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.22295892238616943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876282930374146},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6972975730895996},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6047304272651672},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5762974619865417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.556769073009491},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5224267840385437},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4613414406776428},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32798898220062256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2700939178466797},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22295892238616943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee55066.2022.9882692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882692","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316514","display_name":"Arm","ror":"https://ror.org/04mmhzs81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2031391868","https://openalex.org/W2031392373","https://openalex.org/W2040810017","https://openalex.org/W2049491364","https://openalex.org/W2115090529","https://openalex.org/W2120108467","https://openalex.org/W2151310484","https://openalex.org/W2419298046","https://openalex.org/W2479165484","https://openalex.org/W2554192832","https://openalex.org/W2605565366","https://openalex.org/W2610972164","https://openalex.org/W2895892435","https://openalex.org/W2901314581","https://openalex.org/W3010267622"],"related_works":["https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W45233828","https://openalex.org/W2964988449","https://openalex.org/W188202134","https://openalex.org/W2397952901","https://openalex.org/W2029380707","https://openalex.org/W4255934811","https://openalex.org/W2465382974","https://openalex.org/W2010229520"],"abstract_inverted_index":{"Linguistic":[0],"summaries":[1,32],"are":[2,33,69],"used":[3],"in":[4,30],"this":[5],"work":[6],"to":[7,57,72],"provide":[8],"personalized":[9],"exploration":[10,20],"functionalities":[11],"on":[12],"massive":[13],"relational":[14],"data.":[15],"To":[16],"ensure":[17],"a":[18,46,54],"fluid":[19],"of":[21,25],"the":[22,26,31,38,59],"data,":[23],"cardinalities":[24],"data":[27,39],"properties":[28],"described":[29],"estimated":[34,60],"from":[35,50],"statistics":[36,52],"about":[37],"distribution.":[40],"The":[41,62],"proposed":[42],"workflow":[43],"also":[44],"involves":[45],"vocabulary":[47],"inference":[48],"mechanism":[49],"these":[51],"and":[53,75],"sampling-based":[55],"approach":[56],"consolidate":[58],"cardinalities.":[61],"paper":[63],"shows":[64],"that":[65],"soft":[66],"computing":[67],"techniques":[68],"particularly":[70],"relevant":[71],"build":[73],"concrete":[74],"functional":[76],"business":[77],"intelligence":[78],"solutions.":[79]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
