{"id":"https://openalex.org/W2108836810","doi":"https://doi.org/10.1145/1947940.1948015","title":"A real coded MOGA for mining classification rules with missing attribute values","display_name":"A real coded MOGA for mining classification rules with missing attribute values","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2108836810","doi":"https://doi.org/10.1145/1947940.1948015","mag":"2108836810"},"language":"en","primary_location":{"id":"doi:10.1145/1947940.1948015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1947940.1948015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Communication, Computing &amp; Security - ICCCS '11","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/A5023484847","display_name":"Dipankar Dutta","orcid":"https://orcid.org/0000-0002-1930-2741"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dipankar Dutta","raw_affiliation_strings":["UIT, BU, Golapbug (North), Burdwan, West Bengal, India"],"affiliations":[{"raw_affiliation_string":"UIT, BU, Golapbug (North), Burdwan, West Bengal, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070517688","display_name":"Paramartha Dutta","orcid":"https://orcid.org/0000-0003-3946-2440"},"institutions":[{"id":"https://openalex.org/I130291710","display_name":"Visva-Bharati University","ror":"https://ror.org/02y28sc20","country_code":"IN","type":"education","lineage":["https://openalex.org/I130291710"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Paramartha Dutta","raw_affiliation_strings":["VB, Santiniketan, West Bengal, India"],"affiliations":[{"raw_affiliation_string":"VB, Santiniketan, West Bengal, India","institution_ids":["https://openalex.org/I130291710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023484847"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.16595964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9958000183105469,"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":0.9958000183105469,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9923999905586243,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9868000149726868,"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/missing-data","display_name":"Missing data","score":0.8873919248580933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6876897811889648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6015492081642151},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5278720259666443},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4976201355457306},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4698677957057953},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45803478360176086},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.45513805747032166},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.41897106170654297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3131655752658844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23552951216697693}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8873919248580933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6876897811889648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6015492081642151},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5278720259666443},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4976201355457306},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4698677957057953},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45803478360176086},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.45513805747032166},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.41897106170654297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3131655752658844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23552951216697693},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1947940.1948015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1947940.1948015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Communication, Computing &amp; Security - ICCCS '11","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1527282796","https://openalex.org/W1530010412","https://openalex.org/W1623342295","https://openalex.org/W2084812512","https://openalex.org/W2106334424","https://openalex.org/W2115107787","https://openalex.org/W2120817147","https://openalex.org/W2125932763","https://openalex.org/W2136000097","https://openalex.org/W2140190241","https://openalex.org/W2143874137","https://openalex.org/W2146517105","https://openalex.org/W2154642793","https://openalex.org/W2160538320","https://openalex.org/W2167681385","https://openalex.org/W2172186225","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"Classification":[0],"rule":[1],"mining":[2,9],"is":[3,16],"one":[4,90],"of":[5,38,61,92,102,110],"the":[6,98,103,111],"important":[7],"data":[8,31,83],"tasks.":[10],"Optimized":[11],"Rule":[12],"Set":[13],"(ORS)":[14],"generation":[15,139],"a":[17],"major":[18],"challenge.":[19],"Multi":[20],"Objective":[21],"Genetic":[22],"Algorithm":[23],"(MOGA)":[24],"has":[25],"been":[26,135],"used":[27,136],"to":[28,108,114],"search":[29],"available":[30],"effectively":[32],"and":[33,127,140],"among":[34],"many":[35],"objectives":[36],"instead":[37],"single":[39],"objective":[40],"with":[41,48,97],"its":[42],"real":[43],"coded":[44],"elitist":[45],"version":[46],"along":[47],"special":[49],"operator.":[50],"Some":[51],"Data":[52],"Sets":[53],"(DSs)":[54],"having":[55,78,131],"missing":[56,72,79,87,95,116],"attribute":[57,80,104],"values.":[58,117],"In":[59,118],"some":[60],"their":[62],"earlier":[63],"work":[64,120],"researchers":[65],"are":[66,122],"either":[67],"considered":[68,86],"DS":[69],"without":[70],"any":[71],"attributes":[73,130],"values":[74,81,88,96,113,133],"or":[75,105],"eliminated":[76],"records":[77],"at":[82],"preprocessing":[84],"phase,":[85],"as":[89],"category":[91],"value,":[93],"replaced":[94],"most":[99],"common":[100],"value":[101],"assigned":[106],"probability":[107],"each":[109],"possible":[112],"replace":[115],"this":[119],"these":[121],"not":[123],"required.":[124],"During":[125],"training":[126],"testing":[128],"phase":[129],"valid":[132],"have":[134],"for":[137],"ORS":[138],"testing.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
