{"id":"https://openalex.org/W2162226791","doi":"https://doi.org/10.1109/icpc.2013.6613853","title":"Improving the detection accuracy of evolutionary coupling","display_name":"Improving the detection accuracy of evolutionary coupling","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2162226791","doi":"https://doi.org/10.1109/icpc.2013.6613853","mag":"2162226791"},"language":"en","primary_location":{"id":"doi:10.1109/icpc.2013.6613853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpc.2013.6613853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Program Comprehension (ICPC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027816999","display_name":"Manishankar Mondal","orcid":"https://orcid.org/0000-0003-1797-607X"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Manishankar Mondal","raw_affiliation_strings":["Department of Computer Science, University of Saskatchewan, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102756770","display_name":"Chanchal K. Roy","orcid":"https://orcid.org/0000-0003-0519-6164"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chanchal K. Roy","raw_affiliation_strings":["Department of Computer Science, University of Saskatchewan, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089178328","display_name":"Kevin A. Schneider","orcid":"https://orcid.org/0000-0003-1113-1754"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kevin A. Schneider","raw_affiliation_strings":["Department of Computer Science, University of Saskatchewan, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Saskatchewan, Canada","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9991000294685364,"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/T10260","display_name":"Software Engineering Research","score":0.9991000294685364,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9984999895095825,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9739000201225281,"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/computer-science","display_name":"Computer science","score":0.6789787411689758},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.6763107776641846},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.618525505065918},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5993953943252563},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.598084568977356},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5636470317840576},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48889175057411194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43259868025779724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3554844856262207},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12260228395462036},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10440239310264587},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.09672737121582031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6789787411689758},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.6763107776641846},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.618525505065918},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5993953943252563},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.598084568977356},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5636470317840576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48889175057411194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43259868025779724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3554844856262207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12260228395462036},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10440239310264587},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.09672737121582031},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpc.2013.6613853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpc.2013.6613853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st International Conference on Program Comprehension (ICPC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.703.5494","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.703.5494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.usask.ca/%7Ecroy/papers/2013/Mondal_ICPC2013_EvolutionayCoupling.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.2602","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.2602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.usask.ca/%7Ecroy/papers/2014/MondalCSMR-WCRE2014ERA.pdf","raw_type":"text"},{"id":"pmh:oai:prism.ucalgary.ca:1880/50694","is_oa":false,"landing_page_url":"http://hdl.handle.net/1880/50694","pdf_url":null,"source":{"id":"https://openalex.org/S4306402212","display_name":"PRISM (University of Calgary)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168635309","host_organization_name":"University of Calgary","host_organization_lineage":["https://openalex.org/I168635309"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W115256144","https://openalex.org/W1677598599","https://openalex.org/W2100849134","https://openalex.org/W2111305209","https://openalex.org/W2166559705","https://openalex.org/W2168050996","https://openalex.org/W4233240690","https://openalex.org/W6604705752"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W2358294942","https://openalex.org/W4367460280","https://openalex.org/W4328049145"],"abstract_inverted_index":{"If":[0],"two":[1,45,57],"or":[2,58],"more":[3,59],"program":[4],"entities":[5,16,24,61],"(e.g.,":[6],"files,":[7],"classes,":[8],"methods)":[9],"co-change":[10,27],"frequently":[11,26],"during":[12],"software":[13],"evolution,":[14],"these":[15],"are":[17,32,62],"said":[18],"to":[19,34,54,80,138],"have":[20,35,51],"evolutionary":[21,30],"coupling.":[22],"The":[23],"that":[25,76,99,115],"(i.e.,":[28],"exhibit":[29],"coupling)":[31],"likely":[33],"logical":[36,140],"coupling":[37,107,141],"(or":[38],"dependencies)":[39],"among":[40],"them.":[41],"Association":[42],"rules":[43],"and":[44,49,70,123,133,145],"related":[46],"measurements,":[47],"Support":[48,122,132],"Confidence,":[50],"been":[52],"used":[53],"predict":[55,139],"whether":[56],"co-changing":[60],"logically":[63],"coupled.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"investigate":[71],"a":[72],"new":[73],"measurement,":[74,127],"Significance,":[75],"has":[77,135],"the":[78,82,136],"potential":[79,137],"improve":[81],"detection":[83],"accuracy":[84],"of":[85,105],"association":[86,130],"rule":[87],"mining":[88],"techniques.":[89],"Our":[90,125],"preliminary":[91],"investigation":[92],"on":[93],"four":[94],"open-source":[95],"subject":[96],"systems":[97],"implies":[98],"our":[100],"proposed":[101,126],"measurement":[102],"is":[103],"capable":[104],"extracting":[106],"relationships":[108],"even":[109],"from":[110],"infrequently":[111],"co-changed":[112],"entity":[113],"sets":[114],"might":[116],"seem":[117],"insignificant":[118],"while":[119],"considering":[120],"only":[121],"Confidence.":[124],"Significance":[128],"(in":[129],"with":[131,142],"Confidence),":[134],"higher":[143],"precision":[144],"recall.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}