{"id":"https://openalex.org/W2895015469","doi":"https://doi.org/10.1145/3335783.3335795","title":"Monte Carlo Dependency Estimation","display_name":"Monte Carlo Dependency Estimation","publication_year":2019,"publication_date":"2019-07-23","ids":{"openalex":"https://openalex.org/W2895015469","doi":"https://doi.org/10.1145/3335783.3335795","mag":"2895015469"},"language":"en","primary_location":{"id":"doi:10.1145/3335783.3335795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3335783.3335795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.02112","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034787716","display_name":"Edouard Fouch\u00e9","orcid":"https://orcid.org/0000-0003-0157-7648"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Edouard Fouch\u00e9","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT)"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT)","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049768806","display_name":"Klemens B\u00f6hm","orcid":"https://orcid.org/0000-0002-1706-1913"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klemens B\u00f6hm","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT)"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT)","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034787716"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00594483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9934999942779541,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.8613975048065186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7178051471710205},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.652066171169281},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.650536835193634},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5604758262634277},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45194011926651},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3581535518169403},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2554779052734375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24300944805145264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23874667286872864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21452054381370544}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.8613975048065186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178051471710205},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.652066171169281},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.650536835193634},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5604758262634277},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45194011926651},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3581535518169403},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2554779052734375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24300944805145264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23874667286872864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21452054381370544}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3335783.3335795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3335783.3335795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1810.02112","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.02112","pdf_url":"https://arxiv.org/pdf/1810.02112","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2895015469","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1810.02112","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1810.02112","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1810.02112","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.02112","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.02112","pdf_url":"https://arxiv.org/pdf/1810.02112","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2895015469.pdf","grobid_xml":"https://content.openalex.org/works/W2895015469.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W579871118","https://openalex.org/W1826290430","https://openalex.org/W1972978214","https://openalex.org/W1981376632","https://openalex.org/W2000661457","https://openalex.org/W2015764016","https://openalex.org/W2016665082","https://openalex.org/W2020800417","https://openalex.org/W2023205960","https://openalex.org/W2027665171","https://openalex.org/W2058803495","https://openalex.org/W2066874235","https://openalex.org/W2078483536","https://openalex.org/W2092939357","https://openalex.org/W2095439994","https://openalex.org/W2103012681","https://openalex.org/W2109676405","https://openalex.org/W2139708568","https://openalex.org/W2149350210","https://openalex.org/W2153028052","https://openalex.org/W2165700458","https://openalex.org/W2293385817","https://openalex.org/W2467405173","https://openalex.org/W2963819994","https://openalex.org/W4233413206"],"related_works":["https://openalex.org/W2465333884","https://openalex.org/W2885663753","https://openalex.org/W2563173624","https://openalex.org/W3005781835","https://openalex.org/W2609859609","https://openalex.org/W2910131911","https://openalex.org/W3186539546","https://openalex.org/W2043111986","https://openalex.org/W3080878387","https://openalex.org/W2512523801","https://openalex.org/W3094870297","https://openalex.org/W2953388559","https://openalex.org/W2460853059","https://openalex.org/W2938553652","https://openalex.org/W2983953458","https://openalex.org/W790656430","https://openalex.org/W3160959263","https://openalex.org/W3124086882","https://openalex.org/W2746949093","https://openalex.org/W3121525220"],"abstract_inverted_index":{"Estimating":[0],"dependency":[1,45,70,93],"is":[2],"a":[3,37,68,77],"fundamental":[4],"task":[5],"in":[6],"data":[7,25],"management.":[8],"Identifying":[9],"the":[10,20,47,84,90],"relevant":[11],"variables":[12],"leads":[13],"to":[14,39],"better":[15],"understanding":[16],"and":[17,22,52,82],"improves":[18],"both":[19],"runtime":[21],"outcome":[23],"of":[24,79,86],"analysis.":[26],"In":[27],"this":[28,61],"paper,":[29],"we":[30,63],"propose":[31],"Monte":[32,56],"Carlo":[33,57],"Dependency":[34],"Estimation":[35],"(MCDE),":[36],"framework":[38],"estimate":[40],"multivariate":[41,92],"dependency.":[42],"MCDE":[43],"quantifies":[44],"as":[46],"average":[48],"discrepancy":[49],"between":[50],"marginal":[51],"conditional":[53],"distributions":[54],"via":[55],"simulations.":[58],"Based":[59],"on":[60],"framework,":[62],"present":[64],"Mann-Whitney":[65],"P":[66],"(MWP),":[67],"novel":[69],"estimator.":[71],"We":[72],"show":[73],"that":[74],"MWP":[75],"satisfies":[76],"number":[78],"desirable":[80],"properties":[81],"demonstrate":[83],"superiority":[85],"our":[87],"estimator":[88],"against":[89],"state-of-the-art":[91],"measures.":[94]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2022-08-02T00:00:00"}