{"id":"https://openalex.org/W2946852493","doi":"https://doi.org/10.1142/s0218213019500131","title":"An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset","display_name":"An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2946852493","doi":"https://doi.org/10.1142/s0218213019500131","mag":"2946852493"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213019500131","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213019500131","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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/A5053439029","display_name":"Ch. Sanjeev Kumar Dash","orcid":"https://orcid.org/0000-0002-1990-4777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ch. Sanjeev Kumar Dash","raw_affiliation_strings":["Department of Computer Science and Engineering, Silicon Institute of Technology, Silicon Hills, Patia, Bhubaneswar-751024, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Silicon Institute of Technology, Silicon Hills, Patia, Bhubaneswar-751024, Odisha, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043431901","display_name":"Ajit Kumar Behera","orcid":"https://orcid.org/0000-0002-7073-6764"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajit Kumar Behera","raw_affiliation_strings":["Department of Computer Science and Engineering, Silicon Institute of Technology, Silicon Hills, Patia, Bhubaneswar-751024, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Silicon Institute of Technology, Silicon Hills, Patia, Bhubaneswar-751024, Odisha, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086277450","display_name":"Sarat Chandra Nayak","orcid":"https://orcid.org/0000-0003-0804-1264"},"institutions":[{"id":"https://openalex.org/I4210104573","display_name":"CMR University","ror":"https://ror.org/015waqy33","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210104573"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarat Chandra Nayak","raw_affiliation_strings":["Department of Computer Science and Engineering, CMR College of Engineering &amp; Technology (Autonomous), Hyderabad-501401, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, CMR College of Engineering &amp; Technology (Autonomous), Hyderabad-501401, India","institution_ids":["https://openalex.org/I4210104573"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001882647","display_name":"Satchidananda Dehuri","orcid":"https://orcid.org/0000-0003-1435-4531"},"institutions":[{"id":"https://openalex.org/I108526665","display_name":"Fakir Mohan University","ror":"https://ror.org/00g0n6t22","country_code":"IN","type":"education","lineage":["https://openalex.org/I108526665"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Satchidananda Dehuri","raw_affiliation_strings":["Department of Information and Communication Technology, Fakir Mohan University, Vyasa Vihar, Balasore-756019, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, Fakir Mohan University, Vyasa Vihar, Balasore-756019, Odisha, India","institution_ids":["https://openalex.org/I108526665"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102775641","display_name":"Sung-Bae Cho","orcid":"https://orcid.org/0000-0002-0185-1769"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Bae Cho","raw_affiliation_strings":["Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001882647"],"corresponding_institution_ids":["https://openalex.org/I108526665"],"apc_list":null,"apc_paid":null,"fwci":0.5803,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75195136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"28","issue":"03","first_page":"1950013","last_page":"1950013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9980999827384949,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9980999827384949,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9884999990463257,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9836000204086304,"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":0.8364279270172119},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7239588499069214},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6820310354232788},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6667947769165039},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6532366275787354},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6409674882888794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961427092552185},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5821542143821716},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5038556456565857},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4830675423145294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4790397882461548},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47096994519233704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37192782759666443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8364279270172119},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7239588499069214},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6820310354232788},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6667947769165039},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6532366275787354},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6409674882888794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961427092552185},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5821542143821716},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5038556456565857},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4830675423145294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4790397882461548},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47096994519233704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37192782759666443},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213019500131","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213019500131","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1983479840","https://openalex.org/W1997437882","https://openalex.org/W1998780131","https://openalex.org/W1999194769","https://openalex.org/W2007525825","https://openalex.org/W2008873147","https://openalex.org/W2011762057","https://openalex.org/W2012638612","https://openalex.org/W2032685209","https://openalex.org/W2039595530","https://openalex.org/W2040264129","https://openalex.org/W2044674786","https://openalex.org/W2045519853","https://openalex.org/W2071516012","https://openalex.org/W2074148701","https://openalex.org/W2101465260","https://openalex.org/W2111700774","https://openalex.org/W2119299083","https://openalex.org/W2125437673","https://openalex.org/W2135547590","https://openalex.org/W2136554306","https://openalex.org/W2147885930","https://openalex.org/W2153503747","https://openalex.org/W2159798994","https://openalex.org/W2169038408","https://openalex.org/W2180110293","https://openalex.org/W2359766982","https://openalex.org/W2525732060","https://openalex.org/W2574248985","https://openalex.org/W3119906835"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,80],"integrated":[4,161],"approach":[5,57,86,162],"by":[6],"considering":[7],"chemical":[8],"reaction":[9],"optimization":[10],"(CRO)":[11],"and":[12,31,103,114,119,175],"functional":[13],"link":[14],"artificial":[15],"neural":[16],"networks":[17],"(FLANNs)":[18],"for":[19,87,124,169],"building":[20],"a":[21,126,139,165],"classifier":[22,127],"from":[23,64,112,144],"the":[24,41,62,67,94,97,108],"dataset":[25,50,75,98,110,116],"with":[26,52,160],"missing":[27,53,171],"value,":[28,172],"inconsistent":[29,115,173],"records,":[30,174],"noisy":[32,176],"instances.":[33,177],"Here,":[34],"imputation":[35],"is":[36,58,76,122,135],"carried":[37],"out":[38],"based":[39,128],"on":[40,129],"known":[42],"value":[43],"of":[44,66,89,96,101,146],"two":[45],"nearest":[46],"neighbors":[47],"to":[48,60,82,92,117],"address":[49],"plagued":[51],"values.":[54],"The":[55,73,133,151],"probabilistic":[56],"used":[59,123],"remove":[61],"inconsistency":[63],"either":[65],"datasets":[68,142],"like":[69],"original":[70],"or":[71],"imputed.":[72],"resulting":[74],"then":[77],"given":[78],"as":[79],"input":[81],"boosted":[83],"instance":[84],"selection":[85,88],"relevant":[90],"instances":[91],"reduce":[93],"size":[95],"without":[99],"loss":[100],"generality":[102],"compromising":[104],"classification":[105],"accuracy.":[106],"Finally,":[107],"transformed":[109],"(i.e.,":[111],"non-imputed":[113],"imputed":[118],"consistent":[120],"dataset)":[121],"developing":[125],"CRO":[130],"trained":[131],"FLANN.":[132],"method":[134],"evaluated":[136],"extensively":[137],"through":[138],"few":[140],"bench-mark":[141],"obtained":[143],"University":[145],"California,":[147],"Irvine":[148],"(UCI)":[149],"repository.":[150],"experimental":[152],"results":[153],"confirm":[154],"that":[155],"our":[156],"preprocessing":[157],"tasks":[158],"along":[159],"can":[163],"be":[164],"promising":[166],"alternative":[167],"tool":[168],"mitigating":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
