{"id":"https://openalex.org/W3048540094","doi":"https://doi.org/10.1142/s0218126621300075","title":"Balancing Assisted Reproductive Technology Dataset for Improving the Efficiency of Incremental Classifiers and Feature Selection Techniques","display_name":"Balancing Assisted Reproductive Technology Dataset for Improving the Efficiency of Incremental Classifiers and Feature Selection Techniques","publication_year":2020,"publication_date":"2020-08-12","ids":{"openalex":"https://openalex.org/W3048540094","doi":"https://doi.org/10.1142/s0218126621300075","mag":"3048540094"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126621300075","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126621300075","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"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":"Journal of Circuits, Systems and Computers","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":null,"display_name":"A. Suruliandi","orcid":null},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Suruliandi","raw_affiliation_strings":["Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli 62701, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli 62701, Tamil Nadu, India","institution_ids":["https://openalex.org/I182997119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090259919","display_name":"K. Ranjini","orcid":null},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K. Ranjini","raw_affiliation_strings":["Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli 62701, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0000-0003-4101-927X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli 62701, Tamil Nadu, India","institution_ids":["https://openalex.org/I182997119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068883308","display_name":"S. P. Raja","orcid":null},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. P. Raja","raw_affiliation_strings":["Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I1330855593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090259919"],"corresponding_institution_ids":["https://openalex.org/I182997119"],"apc_list":null,"apc_paid":null,"fwci":0.5436,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73727303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"30","issue":"06","first_page":"2130007","last_page":"2130007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9642000198364258,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7910407781600952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6688601970672607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.666176438331604},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.6121615767478943},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.589048445224762},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5154308080673218},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49128812551498413},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.48252078890800476},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.4676263928413391},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44316452741622925},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3826538324356079},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3464374542236328},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.14801961183547974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7910407781600952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6688601970672607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.666176438331604},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.6121615767478943},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.589048445224762},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5154308080673218},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49128812551498413},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.48252078890800476},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.4676263928413391},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44316452741622925},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3826538324356079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3464374542236328},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.14801961183547974},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126621300075","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126621300075","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"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":"Journal of Circuits, Systems and Computers","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":17,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1602306524","https://openalex.org/W1670263352","https://openalex.org/W1955857676","https://openalex.org/W2103753221","https://openalex.org/W2111574971","https://openalex.org/W2125993116","https://openalex.org/W2148143831","https://openalex.org/W2161503451","https://openalex.org/W2731617351","https://openalex.org/W2766458627","https://openalex.org/W2909318183","https://openalex.org/W2910414172","https://openalex.org/W2947217163","https://openalex.org/W2976814231","https://openalex.org/W4237284884","https://openalex.org/W4244238212"],"related_works":["https://openalex.org/W3093300636","https://openalex.org/W3176807344","https://openalex.org/W2345184372","https://openalex.org/W4205958290","https://openalex.org/W2595988085","https://openalex.org/W95835803","https://openalex.org/W3105251098","https://openalex.org/W4292651891","https://openalex.org/W2131678521","https://openalex.org/W3048540094"],"abstract_inverted_index":{"Assisted":[0],"Reproductive":[1],"Technology":[2],"(ART)":[3],"is":[4,19,24,58,219,223,271],"a":[5,212],"set":[6],"of":[7,17,29,91,105,215,245],"medical":[8],"procedures":[9],"primarily":[10],"used":[11],"to":[12,37,42,45,66,95,256],"address":[13],"infertility.":[14],"Success":[15],"Rate":[16],"ART":[18,39,57,67,100,192,229],"very":[20,59],"low":[21,96],"because":[22],"it":[23],"affected":[25],"by":[26],"large":[27],"number":[28,104],"variables.":[30],"Machine":[31],"Learning":[32],"Techniques":[33],"are":[34,64,76,254],"now":[35],"applied":[36,65,255],"predict":[38],"outcome":[40,193],"and":[41,80,129,143,149,182,188,231,263],"find":[43],"strategies":[44],"improve":[46],"success":[47,97],"rate.":[48],"For":[49],"this,":[50],"determining":[51],"the":[52,74,89,99,112,120,132,184,216,228,237,241,257],"best":[53,121,185,224,260],"performing":[54,261],"classifier":[55,190,233,270],"for":[56,107,124,165,191,199,226,236,247,268],"important.":[60],"Previously,":[61],"some":[62],"classifiers":[63,262],"with":[68,88,240],"static":[69],"data.":[70],"But,":[71],"in":[72,78],"reality,":[73],"datasets":[75],"dynamic":[77,82],"nature":[79],"require":[81],"setup":[83],"which":[84],"can":[85],"be":[86,209],"achieved":[87],"help":[90],"Incremental":[92,153],"Classifiers.":[93],"Due":[94],"rate,":[98],"dataset":[101,113,128,133,202,230],"contains":[102],"less":[103],"records":[106],"positive":[108],"results":[109],"that":[110,198,221],"make":[111],"imbalanced.":[114],"This":[115],"research":[116],"work":[117],"first":[118],"finds":[119,183],"evaluation":[122],"metric":[123,213],"classification":[125],"on":[126],"imbalanced":[127,201],"then":[130],"balances":[131],"using":[134],"three":[135,259],"different":[136,152],"balancing":[137,186,227],"techniques":[138],"such":[139],"as":[140,211],"undersampling,":[141],"oversampling":[142],"Synthetic":[144],"Minority":[145],"Oversampling":[146],"Technique":[147],"(SMOTE)":[148],"applies":[150],"five":[151],"Classifiers,":[154],"namely":[155],"Stochastic":[156,160],"Gradient":[157],"Descent":[158],"(SGD),":[159],"Primal":[161],"Estimated":[162],"sub-GrAdient":[163],"SOlver":[164],"Support":[166],"vector":[167],"machine":[168],"(SPegasos),":[169],"Na\u00efve":[170],"Bayes":[171],"Updatable,":[172],"Instance":[173],"Based":[174],"(IBk),":[175],"Averaged":[176],"One":[177],"Dependence":[178],"Estimators":[179],"(A1DE)":[180],"Updatable":[181],"technique":[187],"suitable":[189,264],"prediction.":[194],"The":[195],"result":[196],"shows":[197],"an":[200],"Receiver":[203],"Operating":[204],"Characteristics":[205],"(ROC)":[206],"Area":[207],"may":[208],"taken":[210],"instead":[214],"accuracy.":[217],"It":[218],"found":[220],"SMOTE":[222],"method":[225,267],"IB1":[232],"performs":[234],"well":[235],"balanced":[238],"data":[239],"high":[242],"prediction":[243],"rate":[244],"92.3":[246],"ROC.":[248],"Finally,":[249],"various":[250],"Feature":[251],"Selection":[252],"methods":[253],"top":[258],"feature":[265],"selection":[266],"each":[269],"identified.":[272]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
