{"id":"https://openalex.org/W2946026089","doi":"https://doi.org/10.1145/3329859.3329875","title":"Cardinality estimation with local deep learning models","display_name":"Cardinality estimation with local deep learning models","publication_year":2019,"publication_date":"2019-05-24","ids":{"openalex":"https://openalex.org/W2946026089","doi":"https://doi.org/10.1145/3329859.3329875","mag":"2946026089"},"language":"en","primary_location":{"id":"doi:10.1145/3329859.3329875","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329859.3329875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://tud.qucosa.de/id/qucosa%3A79467","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077087558","display_name":"Lucas Woltmann","orcid":"https://orcid.org/0000-0003-0720-8878"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lucas Woltmann","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034533320","display_name":"Claudio Hartmann","orcid":"https://orcid.org/0000-0002-5334-059X"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Claudio Hartmann","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000229374","display_name":"Maik Thiele","orcid":"https://orcid.org/0000-0002-1665-977X"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maik Thiele","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057703543","display_name":"Dirk Habich","orcid":"https://orcid.org/0000-0002-8671-5466"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Habich","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063512642","display_name":"Wolfgang Lehner","orcid":"https://orcid.org/0000-0001-8107-2775"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Lehner","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077087558"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":10.3483,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.98904576,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"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/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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":0.9980000257492065,"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/T11719","display_name":"Data Quality and Management","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8190458416938782},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.7051471471786499},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5832895636558533},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.5729498267173767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.550525963306427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5415248870849609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5007104873657227},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.453428715467453},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4208889603614807},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41298162937164307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08620461821556091},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08566856384277344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190458416938782},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7051471471786499},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5832895636558533},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.5729498267173767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.550525963306427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5415248870849609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5007104873657227},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.453428715467453},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4208889603614807},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41298162937164307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08620461821556091},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08566856384277344},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3329859.3329875","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329859.3329875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management","raw_type":"proceedings-article"},{"id":"pmh:oai:qucosa:de:qucosa:79467","is_oa":true,"landing_page_url":"https://tud.qucosa.de/id/qucosa%3A79467","pdf_url":null,"source":{"id":"https://openalex.org/S4377196312","display_name":"Qucosa (Saxon State and University Library Dresden)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3132420320","host_organization_name":"SLUB Dresden","host_organization_lineage":["https://openalex.org/I3132420320"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:Text"}],"best_oa_location":{"id":"pmh:oai:qucosa:de:qucosa:79467","is_oa":true,"landing_page_url":"https://tud.qucosa.de/id/qucosa%3A79467","pdf_url":null,"source":{"id":"https://openalex.org/S4377196312","display_name":"Qucosa (Saxon State and University Library Dresden)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3132420320","host_organization_name":"SLUB Dresden","host_organization_lineage":["https://openalex.org/I3132420320"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.5299999713897705,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1565231908","https://openalex.org/W1581547316","https://openalex.org/W1822348499","https://openalex.org/W2005188603","https://openalex.org/W2007347635","https://openalex.org/W2010890196","https://openalex.org/W2026896584","https://openalex.org/W2041563709","https://openalex.org/W2060091058","https://openalex.org/W2075278905","https://openalex.org/W2102489964","https://openalex.org/W2132823934","https://openalex.org/W2164399715","https://openalex.org/W2171903035","https://openalex.org/W2258982026","https://openalex.org/W2296073425","https://openalex.org/W2315104825","https://openalex.org/W2396309311","https://openalex.org/W2402498022","https://openalex.org/W2407123212","https://openalex.org/W2604606554","https://openalex.org/W2790625403","https://openalex.org/W2890276152","https://openalex.org/W2912836917","https://openalex.org/W2962771342","https://openalex.org/W2963853546","https://openalex.org/W2964122237","https://openalex.org/W2998032620","https://openalex.org/W3099158806"],"related_works":["https://openalex.org/W2058438338","https://openalex.org/W2168299207","https://openalex.org/W2019471580","https://openalex.org/W2002177687","https://openalex.org/W4224920876","https://openalex.org/W2941284322","https://openalex.org/W2017309389","https://openalex.org/W2585354854","https://openalex.org/W2026059297","https://openalex.org/W4246121856"],"abstract_inverted_index":{"Cardinality":[0],"estimation":[1,17,55,68,147],"is":[2,19,41,125],"a":[3,70,114,126,168],"fundamental":[4],"task":[5],"in":[6,22,99,118,164,172],"database":[7,76],"query":[8,24],"processing":[9],"and":[10,144,166],"optimization.":[11],"Unfortunately,":[12],"the":[13,28,35,42,66,74,100,122,130],"accuracy":[14,165],"of":[15,31,37,129,141,162,170],"traditional":[16],"techniques":[18],"poor":[20],"resulting":[21],"non-optimal":[23],"execution":[25],"plans.":[26],"With":[27],"recent":[29],"expansion":[30],"machine":[32],"learning":[33],"into":[34],"field":[36],"data":[38,46,87,142],"management,":[39],"there":[40],"general":[43],"notion":[44],"that":[45],"analysis,":[47],"especially":[48],"neural":[49,62],"networks,":[50],"can":[51],"lead":[52],"to":[53,58,85,91,138,150],"better":[54,139,146],"accuracy.":[56,148],"Up":[57],"now,":[59],"all":[60],"proposed":[61],"network":[63],"approaches":[64],"for":[65,93,104,176],"cardinality":[67],"follow":[69],"global":[71,81,151],"approach":[72,117,155],"considering":[73],"whole":[75],"schema":[77],"at":[78,88],"once.":[79],"These":[80],"models":[82],"are":[83],"prone":[84],"sparse":[86],"training":[89,106,173],"leading":[90],"misestimates":[92],"queries":[94],"which":[95],"were":[96],"not":[97],"represented":[98],"sample":[101],"space":[102],"used":[103],"generating":[105],"queries.":[107],"To":[108],"overcome":[109],"this":[110,119,136],"issue,":[111],"we":[112,133],"introduce":[113],"novel":[115,154],"local-oriented":[116],"paper,":[120],"therefore":[121],"local":[123,177],"context":[124],"specific":[127],"sub-part":[128],"schema.":[131],"As":[132],"will":[134],"show,":[135],"leads":[137],"representation":[140],"correlation":[143],"thus":[145],"Compared":[149],"approaches,":[152],"our":[153],"achieves":[156],"an":[157],"improvement":[158],"by":[159,167],"two":[160],"orders":[161],"magnitude":[163],"factor":[169],"four":[171],"time":[174],"performance":[175],"models.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}