{"id":"https://openalex.org/W2079381177","doi":"https://doi.org/10.4018/jdwm.2011040103","title":"An Empirical Evaluation of Similarity Coefficients for Binary Valued Data","display_name":"An Empirical Evaluation of Similarity Coefficients for Binary Valued Data","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2079381177","doi":"https://doi.org/10.4018/jdwm.2011040103","mag":"2079381177"},"language":"en","primary_location":{"id":"doi:10.4018/jdwm.2011040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdwm.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","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/A5041744404","display_name":"David Lewis","orcid":"https://orcid.org/0000-0003-4151-0499"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David M. Lewis","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063541070","display_name":"Vandana P. Janeja","orcid":"https://orcid.org/0000-0003-0130-6135"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vandana P. Janeja","raw_affiliation_strings":["University of Maryland, Baltimore County, USA","University of Maryland-Baltimore County, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"University of Maryland-Baltimore County, USA#TAB#","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041744404"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.9533,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.86070587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"2","first_page":"44","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9958000183105469,"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/T11106","display_name":"Data Management and Algorithms","score":0.9929999709129333,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9886999726295471,"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/similarity","display_name":"Similarity (geometry)","score":0.8226630687713623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692579448223114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5761989951133728},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.562953531742096},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5096440315246582},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.44825950264930725},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4186147451400757},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.416144460439682},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.41019827127456665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36211979389190674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31197458505630493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26874083280563354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14132735133171082},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08614060282707214}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8226630687713623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692579448223114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5761989951133728},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.562953531742096},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5096440315246582},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.44825950264930725},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4186147451400757},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.416144460439682},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.41019827127456665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36211979389190674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31197458505630493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26874083280563354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14132735133171082},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08614060282707214},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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":3,"locations":[{"id":"doi:10.4018/jdwm.2011040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdwm.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S53932126","display_name":"International Journal of Data Warehousing and Mining","issn_l":"1548-3924","issn":["1548-3924","1548-3932"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Warehousing and Mining","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdwm00:v:7:y:2011:i:2:p:44-66","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdwm.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:mdsoar.org:11603/20068","is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/20068","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","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":23,"referenced_works":["https://openalex.org/W1488596019","https://openalex.org/W1979335751","https://openalex.org/W1990643970","https://openalex.org/W2012019886","https://openalex.org/W2020812338","https://openalex.org/W2035756516","https://openalex.org/W2048766287","https://openalex.org/W2055938834","https://openalex.org/W2057712948","https://openalex.org/W2063035568","https://openalex.org/W2069778223","https://openalex.org/W2099581008","https://openalex.org/W2099842512","https://openalex.org/W2102691345","https://openalex.org/W2105941276","https://openalex.org/W2116493298","https://openalex.org/W2118557731","https://openalex.org/W2125207043","https://openalex.org/W2132438292","https://openalex.org/W2148278529","https://openalex.org/W2151058942","https://openalex.org/W2171962786","https://openalex.org/W2328667634"],"related_works":["https://openalex.org/W4234717138","https://openalex.org/W4391098459","https://openalex.org/W4382241270","https://openalex.org/W4385693254","https://openalex.org/W4382242230","https://openalex.org/W1573605934","https://openalex.org/W2154693897","https://openalex.org/W1806551898","https://openalex.org/W3210346861","https://openalex.org/W2018164323"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,23,37,83,86,95,98,105,109,114,124,130,133],"authors":[4,70],"present":[5,80],"an":[6],"empirical":[7],"evaluation":[8],"of":[9,55,85,97,104,111,113,120,126],"similarity":[10,24,54,73,87,99,134],"coefficients":[11,17,74],"for":[12],"binary":[13,29],"valued":[14,30],"data.":[15],"Similarity":[16],"provide":[18],"a":[19,33,43],"means":[20],"to":[21,93,107,122],"measure":[22],"or":[25],"distance":[26],"between":[27],"two":[28],"objects":[31],"in":[32,49,58,76,89,129],"dataset":[34],"such":[35,52],"that":[36],"attributes":[38,121],"qualifying":[39],"each":[40],"object":[41],"have":[42],"0-1":[44],"value.":[45],"This":[46],"is":[47],"useful":[48],"several":[50],"domains,":[51],"as":[53],"feature":[56],"vectors":[57],"sensor":[59],"networks,":[60],"document":[61],"search,":[62],"router":[63],"network":[64],"mining,":[65],"and":[66,79,116],"web":[67],"mining.":[68],"The":[69],"survey":[71],"35":[72],"used":[75],"various":[77],"domains":[78],"conclusions":[81],"about":[82],"efficacy":[84],"computed":[88],"(1)":[90],"labeled":[91],"data":[92,106,131],"quantify":[94],"accuracy":[96],"coefficients,":[100],"(2)":[101],"varying":[102,118],"density":[103],"evaluate":[108],"effect":[110,125],"sparsity":[112],"values,":[115],"(3)":[117],"number":[119],"see":[123],"high":[127],"dimensionality":[128],"on":[132],"computed.":[135]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
