{"id":"https://openalex.org/W1993130246","doi":"https://doi.org/10.1145/2637484","title":"Selecting the Right Correlation Measure for Binary Data","display_name":"Selecting the Right Correlation Measure for Binary Data","publication_year":2014,"publication_date":"2014-09-23","ids":{"openalex":"https://openalex.org/W1993130246","doi":"https://doi.org/10.1145/2637484","mag":"1993130246"},"language":"en","primary_location":{"id":"doi:10.1145/2637484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2637484","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5077625109","display_name":"Lian Duan","orcid":"https://orcid.org/0000-0002-0618-8628"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lian Duan","raw_affiliation_strings":["New Jersey Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031033430","display_name":"W. Nick Street","orcid":"https://orcid.org/0000-0002-1632-5905"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Nick Street","raw_affiliation_strings":["University of Iowa","University of Iowa, "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Iowa","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"University of Iowa, ","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594832","display_name":"Yanchi Liu","orcid":"https://orcid.org/0000-0003-4396-5139"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanchi Liu","raw_affiliation_strings":["New Jersey Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046202286","display_name":"Songhua Xu","orcid":"https://orcid.org/0000-0002-2276-2538"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songhua Xu","raw_affiliation_strings":["New Jersey Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010431749","display_name":"Brook Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brook Wu","raw_affiliation_strings":["New Jersey Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1019,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93993213,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":"2","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962999820709229,"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":0.9962999820709229,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9891999959945679,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9815999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.8316662311553955},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7888320684432983},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5947103500366211},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5335230231285095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46453434228897095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4641237258911133},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4567907452583313},{"id":"https://openalex.org/keywords/correlation-ratio","display_name":"Correlation ratio","score":0.454580694437027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3228801488876343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28213730454444885}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.8316662311553955},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7888320684432983},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5947103500366211},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5335230231285095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46453434228897095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4641237258911133},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4567907452583313},{"id":"https://openalex.org/C103423394","wikidata":"https://www.wikidata.org/wiki/Q5172857","display_name":"Correlation ratio","level":3,"score":0.454580694437027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3228801488876343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28213730454444885},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":2,"locations":[{"id":"doi:10.1145/2637484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2637484","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.9233","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.9233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dollar.biz.uiowa.edu/%7Enstreet/research/tkdd14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319804","display_name":"Badan Riset dan Inovasi Nasional","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W112256517","https://openalex.org/W1533168323","https://openalex.org/W1556507321","https://openalex.org/W1565377632","https://openalex.org/W1938740620","https://openalex.org/W1973036367","https://openalex.org/W1991059587","https://openalex.org/W2015475952","https://openalex.org/W2015487160","https://openalex.org/W2017419283","https://openalex.org/W2033977659","https://openalex.org/W2037965136","https://openalex.org/W2038449669","https://openalex.org/W2039594635","https://openalex.org/W2046690968","https://openalex.org/W2047940964","https://openalex.org/W2055993996","https://openalex.org/W2073277016","https://openalex.org/W2100417212","https://openalex.org/W2102297485","https://openalex.org/W2109189384","https://openalex.org/W2112440119","https://openalex.org/W2112656327","https://openalex.org/W2116780029","https://openalex.org/W2117211970","https://openalex.org/W2138745909","https://openalex.org/W2149659421","https://openalex.org/W2152783089","https://openalex.org/W2154663323","https://openalex.org/W2166559705","https://openalex.org/W2210278139","https://openalex.org/W2612582179","https://openalex.org/W2688249815","https://openalex.org/W2998237634","https://openalex.org/W3130383601"],"related_works":["https://openalex.org/W2560331580","https://openalex.org/W1488551807","https://openalex.org/W3013810674","https://openalex.org/W4253009869","https://openalex.org/W1722187355","https://openalex.org/W4232475722","https://openalex.org/W3005244351","https://openalex.org/W1969635534","https://openalex.org/W4240702838","https://openalex.org/W4385816550"],"abstract_inverted_index":{"Finding":[0],"the":[1,64,80,102,124,132,141,153,167],"most":[2],"interesting":[3],"correlations":[4],"among":[5],"items":[6],"is":[7,57],"essential":[8],"for":[9,24,39,60,96,105,163],"problems":[10],"in":[11,83],"many":[12],"commercial,":[13],"medical,":[14],"and":[15,44,92,100,118,131,143,149],"scientific":[16],"domains.":[17],"Although":[18],"there":[19],"are":[20],"numerous":[21],"measures":[22,29,67,117,148],"available":[23],"evaluating":[25],"correlations,":[26],"different":[27,32,106,112,147],"correlation":[28,42,53,66,97,107,116,122],"provide":[30,161],"drastically":[31],"results.":[33],"Piatetsky-Shapiro":[34],"provided":[35],"three":[36,84,158],"mandatory":[37],"properties":[38,50,91,95],"any":[40],"reasonable":[41],"measure,":[43],"Tan":[45],"et":[46],"al.":[47],"proposed":[48],"several":[49],"to":[51,62,69,74,114,165,171],"categorize":[52,150],"measures;":[54],"however,":[55],"it":[56],"still":[58],"hard":[59],"users":[61,164],"choose":[63,166],"desirable":[65,90],"according":[68,170],"their":[70,172],"needs.":[71,173],"In":[72],"order":[73],"solve":[75],"this":[76],"problem,":[77],"we":[78,87,110,139,160],"explore":[79],"effectiveness":[81],"problem":[82],"ways.":[85],"First,":[86],"propose":[88,119],"two":[89,93,120],"optional":[94],"measure":[98,169],"selection":[99],"study":[101,111],"property":[103],"satisfaction":[104],"measures.":[108],"Second,":[109],"techniques":[113],"adjust":[115],"new":[121],"measures:":[123],"Simplified":[125,133],"\u03c7":[126,134],"2":[127,135],"with":[128,136],"Continuity":[129],"Correction":[130],"Support.":[137],"Third,":[138],"analyze":[140],"upper":[142],"lower":[144],"bounds":[145],"of":[146],"them":[151],"by":[152],"bound":[154],"differences.":[155],"Combining":[156],"these":[157],"directions,":[159],"guidelines":[162],"proper":[168]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
