{"id":"https://openalex.org/W2556418918","doi":"https://doi.org/10.4018/ijkdb.2016010104","title":"Local Optima Avoidance in GA Biclustering using Map Reduce","display_name":"Local Optima Avoidance in GA Biclustering using Map Reduce","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2556418918","doi":"https://doi.org/10.4018/ijkdb.2016010104","mag":"2556418918"},"language":"en","primary_location":{"id":"doi:10.4018/ijkdb.2016010104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijkdb.2016010104","pdf_url":null,"source":{"id":"https://openalex.org/S113982356","display_name":"International Journal of Knowledge Discovery in Bioinformatics","issn_l":"1947-9115","issn":["1947-9115","1947-9123"],"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 Knowledge Discovery in Bioinformatics","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/A5108487414","display_name":"R. Gowri","orcid":null},"institutions":[{"id":"https://openalex.org/I141431873","display_name":"Periyar University","ror":"https://ror.org/05crs8s98","country_code":"IN","type":"education","lineage":["https://openalex.org/I141431873"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gowri R.","raw_affiliation_strings":["Periyar University, Salem, India"],"affiliations":[{"raw_affiliation_string":"Periyar University, Salem, India","institution_ids":["https://openalex.org/I141431873"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045590843","display_name":"R. Rathipriya","orcid":null},"institutions":[{"id":"https://openalex.org/I141431873","display_name":"Periyar University","ror":"https://ror.org/05crs8s98","country_code":"IN","type":"education","lineage":["https://openalex.org/I141431873"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rathipriya R.","raw_affiliation_strings":["Department of Computer Science, Periyar University, Salem, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Periyar University, Salem, India","institution_ids":["https://openalex.org/I141431873"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108487414"],"corresponding_institution_ids":["https://openalex.org/I141431873"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08029938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":"37","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987000226974487,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9957000017166138,"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/biclustering","display_name":"Biclustering","score":0.8020157814025879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6662828326225281},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6536379456520081},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.6171239614486694},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.599295973777771},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5027444362640381},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4851756691932678},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48236507177352905},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4279181957244873},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42375677824020386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3255046606063843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2877349853515625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2690863609313965},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.2362453043460846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17830273509025574}],"concepts":[{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.8020157814025879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662828326225281},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6536379456520081},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.6171239614486694},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.599295973777771},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5027444362640381},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4851756691932678},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48236507177352905},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4279181957244873},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42375677824020386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3255046606063843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2877349853515625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2690863609313965},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2362453043460846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17830273509025574},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijkdb.2016010104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijkdb.2016010104","pdf_url":null,"source":{"id":"https://openalex.org/S113982356","display_name":"International Journal of Knowledge Discovery in Bioinformatics","issn_l":"1947-9115","issn":["1947-9115","1947-9123"],"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 Knowledge Discovery in Bioinformatics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jkdb00:v:6:y:2016:i:1:p:37-47","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKDB.2016010104","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W564855521","https://openalex.org/W1497256448","https://openalex.org/W1541504112","https://openalex.org/W1561864708","https://openalex.org/W1608503058","https://openalex.org/W1839211677","https://openalex.org/W1895263298","https://openalex.org/W1990765741","https://openalex.org/W2005614401","https://openalex.org/W2018310139","https://openalex.org/W2037637494","https://openalex.org/W2053599996","https://openalex.org/W2055849881","https://openalex.org/W2090257125","https://openalex.org/W2102006495","https://openalex.org/W2108025037","https://openalex.org/W2119282901","https://openalex.org/W2144544802","https://openalex.org/W2145473492","https://openalex.org/W2156698647","https://openalex.org/W2550056213","https://openalex.org/W2588735740"],"related_works":["https://openalex.org/W1959298326","https://openalex.org/W2568341866","https://openalex.org/W2357343347","https://openalex.org/W2383686222","https://openalex.org/W1589193853","https://openalex.org/W4246235593","https://openalex.org/W2326680184","https://openalex.org/W2155946662","https://openalex.org/W1967310898","https://openalex.org/W3201121203"],"abstract_inverted_index":{"One":[0],"of":[1,31,123],"the":[2,17,23,32,39,44,49,52,65,114,152],"prominent":[3],"issues":[4,148],"in":[5,22,35,51,61,84,103,118],"Genetic":[6,36],"Algorithm":[7],"(GA)":[8],"is":[9,29,87,92,110],"premature":[10],"convergence":[11],"on":[12,129],"local":[13],"optima.":[14],"This":[15,108,141],"restricts":[16],"enhanced":[18],"optimal":[19,73],"solution":[20],"searching":[21,46,102],"entire":[24],"search":[25,66],"space.":[26],"Population":[27],"size":[28,41],"one":[30],"influencing":[33],"factors":[34],"Algorithm.":[37],"Increasing":[38],"population":[40,82,91,95],"will":[42,100,143],"improvise":[43],"randomized":[45,69],"and":[47,97,149],"maintains":[48],"diversity":[50],"population.":[53],"It":[54],"also":[55,144],"increases":[56],"its":[57,131],"computational":[58],"complexity.":[59],"Especially":[60],"GA":[62],"Biclustering":[63],"(GABiC),":[64],"should":[67],"be":[68],"to":[70,151],"find":[71],"more":[72],"patterns.":[74],"In":[75],"this":[76,119,124],"paper,":[77],"a":[78],"novel":[79],"approach":[80,109,142],"for":[81,112],"setup":[83],"MapReduce":[85,106],"framework":[86],"proposed.":[88],"The":[89,121],"maximal":[90],"split":[93],"into":[94],"sets,":[96],"these":[98],"groups":[99],"proceed":[101],"parallel":[104],"using":[105],"framework.":[107],"attempted":[111],"biclustering":[113,155],"gene":[115],"expression":[116],"dataset":[117],"paper.":[120],"performance":[122],"proposed":[125],"work":[126],"seems":[127],"promising":[128],"comparing":[130],"results":[132],"with":[133],"those":[134],"obtained":[135],"from":[136],"previous":[137],"hybridized":[138],"optimization":[139],"approaches.":[140],"handle":[145],"data":[146,154],"scalability":[147],"applicable":[150],"big":[153],"problems.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}