{"id":"https://openalex.org/W2103662135","doi":"https://doi.org/10.1109/icnc.2011.6022588","title":"A dynamic composite approach for evaluating association rules","display_name":"A dynamic composite approach for evaluating association rules","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2103662135","doi":"https://doi.org/10.1109/icnc.2011.6022588","mag":"2103662135"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2011.6022588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-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/A5068475380","display_name":"Elnaz Delpisheh","orcid":null},"institutions":[{"id":"https://openalex.org/I107949126","display_name":"University of Lethbridge","ror":"https://ror.org/044j76961","country_code":"CA","type":"education","lineage":["https://openalex.org/I107949126"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Elnaz Delpisheh","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Lethbridge, AB, Canada","[Department of Mathematics & Computer Science, University of Lethbridge, AB, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Lethbridge, AB, Canada","institution_ids":["https://openalex.org/I107949126"]},{"raw_affiliation_string":"[Department of Mathematics & Computer Science, University of Lethbridge, AB, Canada]","institution_ids":["https://openalex.org/I107949126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069259977","display_name":"Z. John Zhang","orcid":"https://orcid.org/0000-0001-5865-7871"},"institutions":[{"id":"https://openalex.org/I107949126","display_name":"University of Lethbridge","ror":"https://ror.org/044j76961","country_code":"CA","type":"education","lineage":["https://openalex.org/I107949126"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"John Z. Zhang","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Lethbridge, AB, Canada","[Department of Mathematics & Computer Science, University of Lethbridge, AB, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Lethbridge, AB, Canada","institution_ids":["https://openalex.org/I107949126"]},{"raw_affiliation_string":"[Department of Mathematics & Computer Science, University of Lethbridge, AB, Canada]","institution_ids":["https://openalex.org/I107949126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068475380"],"corresponding_institution_ids":["https://openalex.org/I107949126"],"apc_list":null,"apc_paid":null,"fwci":2.2169,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90972803,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"1893","last_page":"1898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9671000242233276,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9559000134468079,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7900340557098389},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.7351604700088501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7303194999694824},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6570963263511658},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6174443960189819},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6058266162872314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5894066691398621},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5776617527008057},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5660222768783569},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5559737086296082},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5136837363243103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5062162280082703},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09630995988845825}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7900340557098389},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.7351604700088501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303194999694824},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6570963263511658},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6174443960189819},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6058266162872314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5894066691398621},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5776617527008057},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5660222768783569},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5559737086296082},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5136837363243103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5062162280082703},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09630995988845825},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2011.6022588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W157836768","https://openalex.org/W1524938675","https://openalex.org/W1595392398","https://openalex.org/W1805869427","https://openalex.org/W1822004825","https://openalex.org/W1973036367","https://openalex.org/W1995887163","https://openalex.org/W2011150423","https://openalex.org/W2015393497","https://openalex.org/W2044786378","https://openalex.org/W2048433053","https://openalex.org/W2096677284","https://openalex.org/W2097324757","https://openalex.org/W2131289833","https://openalex.org/W2140190241","https://openalex.org/W2166559705","https://openalex.org/W2172186225","https://openalex.org/W2620311882","https://openalex.org/W4251995171","https://openalex.org/W6635918378"],"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/W1561334777","https://openalex.org/W3012205960","https://openalex.org/W2079402849","https://openalex.org/W2392697706","https://openalex.org/W366033468"],"abstract_inverted_index":{"Association":[0],"mining":[1,44],"is":[2,69,131,146],"one":[3],"the":[4,15,29,61,117,140,147],"many":[5],"tasks":[6],"in":[7,25,57,65,122],"data":[8],"mining.":[9,27],"In":[10,28,78,101],"this":[11,145],"paper,":[12],"we":[13,81],"consider":[14],"problem":[16],"of":[17,53,98,107,120,128,136,142],"evaluating":[18,123,156],"association":[19,26,39,43,89,124,157],"rules,":[20],"an":[21,42],"integral":[22],"post":[23],"process":[24],"literature,":[30],"different":[31],"interestingness":[32],"measures":[33,46,121],"have":[34],"been":[35],"proposed":[36],"to":[37,50,60,73,92,115,155],"evaluate":[38],"rules.":[40,125,158],"Given":[41],"task,":[45],"are":[47,153],"selected":[48],"according":[49,91],"a":[51,70,83,93,134],"set":[52,135],"user-specified":[54],"properties.":[55],"However,":[56],"practice,":[58],"due":[59],"subjectivity":[62],"and":[63,95],"imperfection":[64],"property":[66],"specifications,":[67],"it":[68],"non-trivial":[71],"task":[72],"make":[74],"appropriate":[75],"measure":[76],"selections.":[77],"our":[79,103,129,143],"work,":[80],"propose":[82],"novel":[84],"approach":[85,104,130],"that":[86,150],"dynamically":[87],"evaluates":[88],"rules":[90],"composite":[94],"collective":[96],"effect":[97],"multiple":[99],"measures.":[100],"essence,":[102],"makes":[105],"use":[106],"neural":[108,151],"networks":[109,152],"along":[110],"with":[111],"back-propagation":[112],"learning":[113],"capability":[114],"determine":[116],"relative":[118],"importance":[119],"The":[126],"effectiveness":[127],"shown":[132],"through":[133],"empirical":[137],"simulations.":[138],"To":[139],"best":[141],"knowledge,":[144],"first":[148],"time":[149],"applied":[154]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
