{"id":"https://openalex.org/W4382447796","doi":"https://doi.org/10.1109/access.2023.3273925","title":"Ensemble Partition Sampling (EPS) for Improved Multi-Class Classification","display_name":"Ensemble Partition Sampling (EPS) for Improved Multi-Class Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382447796","doi":"https://doi.org/10.1109/access.2023.3273925"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3273925","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3273925","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10121046.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10121046.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007080939","display_name":"Brahim Jabir","orcid":"https://orcid.org/0000-0002-8762-9199"},"institutions":[{"id":"https://openalex.org/I4210119856","display_name":"Universit\u00e9 Sultan Moulay Slimane","ror":"https://ror.org/02m8tb249","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210119856"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Brahim Jabir","raw_affiliation_strings":["LIMATI Laboratory, Sultan Moulay Slimane University, Beni Mellal, Morocco"],"raw_orcid":"https://orcid.org/0000-0002-8762-9199","affiliations":[{"raw_affiliation_string":"LIMATI Laboratory, Sultan Moulay Slimane University, Beni Mellal, Morocco","institution_ids":["https://openalex.org/I4210119856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046258353","display_name":"Isabel de la Torre D\u00edez","orcid":"https://orcid.org/0000-0003-3134-7720"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Isabel De La Torre D\u00edez","raw_affiliation_strings":["Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091841257","display_name":"Ernesto Francisco Bautista Thompson","orcid":null},"institutions":[{"id":"https://openalex.org/I205571821","display_name":"Ibero American University","ror":"https://ror.org/05vss7635","country_code":"MX","type":"education","lineage":["https://openalex.org/I205571821"]},{"id":"https://openalex.org/I4210097234","display_name":"Universidad Internacional","ror":"https://ror.org/00cxp1a86","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210097234"]},{"id":"https://openalex.org/I4387154151","display_name":"Universidade Internacional do Cuanza","ror":"https://ror.org/04t45q150","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154151"]},{"id":"https://openalex.org/I87806610","display_name":"Ibero-American University Puebla","ror":"https://ror.org/00pcv0g02","country_code":"MX","type":"education","lineage":["https://openalex.org/I87806610"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ernesto Francisco Bautista Thompson","raw_affiliation_strings":["Higher Polytechnic School, Universidad Europea del Atlántico, Santander, Spain","Facultade de Engenharias, Universidade Internacional do Cuanza, Cuito, Angola","Department of Engineering and Projects, Universidad Internacional Iberoamericana, Campeche, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher Polytechnic School, Universidad Europea del Atlántico, Santander, Spain","institution_ids":[]},{"raw_affiliation_string":"Facultade de Engenharias, Universidade Internacional do Cuanza, Cuito, Angola","institution_ids":["https://openalex.org/I4387154151"]},{"raw_affiliation_string":"Department of Engineering and Projects, Universidad Internacional Iberoamericana, Campeche, Mexico","institution_ids":["https://openalex.org/I4210097234","https://openalex.org/I87806610","https://openalex.org/I205571821"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056213837","display_name":"D\u00e9bora Libertad Ram\u00edrez Vargas","orcid":"https://orcid.org/0000-0001-8709-457X"},"institutions":[{"id":"https://openalex.org/I205571821","display_name":"Ibero American University","ror":"https://ror.org/05vss7635","country_code":"MX","type":"education","lineage":["https://openalex.org/I205571821"]},{"id":"https://openalex.org/I4210097234","display_name":"Universidad Internacional","ror":"https://ror.org/00cxp1a86","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210097234"]},{"id":"https://openalex.org/I87806610","display_name":"Ibero-American University Puebla","ror":"https://ror.org/00pcv0g02","country_code":"MX","type":"education","lineage":["https://openalex.org/I87806610"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Debora Libertad Ram\u00edrez Vargas","raw_affiliation_strings":["Higher Polytechnic School, Universidad Europea del Atlántico, Santander, Spain","Department of Engineering and Projects, Universidad Internacional Iberoamericana, Campeche, Mexico","Engineering and projects, Universidad Internacional Iberoamericana, Arecibo, PR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher Polytechnic School, Universidad Europea del Atlántico, Santander, Spain","institution_ids":[]},{"raw_affiliation_string":"Department of Engineering and Projects, Universidad Internacional Iberoamericana, Campeche, Mexico","institution_ids":["https://openalex.org/I4210097234","https://openalex.org/I87806610","https://openalex.org/I205571821"]},{"raw_affiliation_string":"Engineering and projects, Universidad Internacional Iberoamericana, Arecibo, PR, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109618500","display_name":"A. Castilla","orcid":null},"institutions":[{"id":"https://openalex.org/I205571821","display_name":"Ibero American University","ror":"https://ror.org/05vss7635","country_code":"MX","type":"education","lineage":["https://openalex.org/I205571821"]},{"id":"https://openalex.org/I4210097234","display_name":"Universidad Internacional","ror":"https://ror.org/00cxp1a86","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210097234"]},{"id":"https://openalex.org/I87806610","display_name":"Ibero-American University Puebla","ror":"https://ror.org/00pcv0g02","country_code":"MX","type":"education","lineage":["https://openalex.org/I87806610"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"\u00c1ngel Gabriel Kuc Castilla","raw_affiliation_strings":["Department of Engineering and Projects, Universidad Internacional Iberoamericana, Campeche, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering and Projects, Universidad Internacional Iberoamericana, Campeche, Mexico","institution_ids":["https://openalex.org/I4210097234","https://openalex.org/I87806610","https://openalex.org/I205571821"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7449,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86834749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"48221","last_page":"48235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9656999707221985,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.8287714719772339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7206217646598816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950134634971619},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5978803038597107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5962786674499512},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5913400053977966},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5518609881401062},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5221484303474426},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.503354012966156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46812382340431213},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.45446696877479553},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4380584955215454},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.42836371064186096},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.4280589818954468},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.42445579171180725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35090672969818115},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.2522966265678406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2145766317844391}],"concepts":[{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.8287714719772339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7206217646598816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950134634971619},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5978803038597107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5962786674499512},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5913400053977966},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5518609881401062},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5221484303474426},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.503354012966156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46812382340431213},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.45446696877479553},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4380584955215454},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.42836371064186096},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.4280589818954468},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.42445579171180725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35090672969818115},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.2522966265678406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2145766317844391},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3273925","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3273925","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10121046.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3151e1d3bc8d4fb78815263908dc6f20","is_oa":true,"landing_page_url":"https://doaj.org/article/3151e1d3bc8d4fb78815263908dc6f20","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 48221-48235 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3273925","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3273925","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10121046.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324500","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18"},{"id":"https://openalex.org/F4320330445","display_name":"Universit\u00e9 Sultan Moulay Slimane","ror":"https://ror.org/02m8tb249"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382447796.pdf","grobid_xml":"https://content.openalex.org/works/W4382447796.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W571200655","https://openalex.org/W769353746","https://openalex.org/W1623006543","https://openalex.org/W2024223694","https://openalex.org/W2035035907","https://openalex.org/W2113242816","https://openalex.org/W2146194630","https://openalex.org/W2148791593","https://openalex.org/W2338318698","https://openalex.org/W2518625155","https://openalex.org/W2562319768","https://openalex.org/W2794124609","https://openalex.org/W2794290001","https://openalex.org/W2800788706","https://openalex.org/W2887039457","https://openalex.org/W2963181848","https://openalex.org/W2979389376","https://openalex.org/W2997136556","https://openalex.org/W2998365469","https://openalex.org/W2999096842","https://openalex.org/W3014813097","https://openalex.org/W3036530763","https://openalex.org/W3150522965","https://openalex.org/W3216600747","https://openalex.org/W4206097825","https://openalex.org/W4213077438","https://openalex.org/W4281258830","https://openalex.org/W4362587723","https://openalex.org/W6636749155","https://openalex.org/W6680007464"],"related_works":["https://openalex.org/W4376528628","https://openalex.org/W2377594824","https://openalex.org/W2215801697","https://openalex.org/W1811162090","https://openalex.org/W2470590370","https://openalex.org/W1995324122","https://openalex.org/W2972916162","https://openalex.org/W1482759638","https://openalex.org/W2115004088","https://openalex.org/W2076300071"],"abstract_inverted_index":{"Classification":[0],"is":[1,10,32,48,64,92,178,205,261],"a":[2,55,144,155,262],"commonly":[3],"used":[4,230],"technique":[5],"in":[6,12,270],"data":[7,184],"mining":[8],"and":[9,21,61,86,115,139,190,212,226,234,238,272],"applied":[11],"various":[13,59],"fields":[14],"such":[15],"as":[16,102,236],"sentiment":[17],"analysis,":[18],"fraud":[19],"detection,":[20],"fault":[22],"diagnosis.":[23],"Multiclass":[24],"classification,":[25,46,215],"which":[26,119],"involves":[27],"more":[28,33],"than":[29,35],"two":[30,41],"classes,":[31],"complex":[34],"binary":[36,52,73,100,126,195],"classification.":[37],"There":[38],"are":[39,81],"mainly":[40],"ways":[42],"to":[43,49,65,94,133,158,179],"approach":[44,157,260],"multiclass":[45,56,68,159,213,273],"one":[47],"expand":[50],"the":[51,62,67,96,103,121,134,168,181,206,239,251,258],"classifier":[53,57],"into":[54,71,193],"through":[58],"strategies":[60],"other":[63,217,247],"divide":[66],"classification":[69,122,141,160,268],"problem":[70,182],"multiple":[72],"problems":[74],"(binarization).":[75],"Two":[76],"popular":[77],"approaches":[78],"for":[79,210,266],"binarization":[80],"One":[82,84,87],"vs":[83,88],"(OvO)":[85],"All":[89],"(OvA).":[90],"It":[91],"simpler":[93],"aggregate":[95],"outputs":[97],"of":[98,105,113,124,136,175,183],"all":[99,246],"classifiers":[101,106],"number":[104],"decreases.":[107],"However,":[108],"it":[109,253],"causes":[110],"an":[111,162],"imbalance":[112,185],"positive":[114],"negative":[116],"sample":[117],"numbers,":[118],"affects":[120],"effect":[123],"each":[125,194],"classifier.":[127],"In":[128],"this":[129,176],"article,":[130],"we":[131],"contribute":[132],"field":[135],"ensemble":[137,188],"learning":[138,189],"multi-class":[140],"by":[142,186],"proposing":[143],"new":[145,156],"method":[146,166,177,209,265],"called":[147],"Ensemble":[148,201],"Partition":[149,164,202],"Sampling":[150,203],"(EPS).":[151],"This":[152],"article":[153],"presents":[154],"using":[161],"\u201cEnsemble":[163],"Sampling\u201d":[165],"within":[167],"\u201cone-vs-all\u201d":[169],"(OvA)":[170],"framework.":[171],"The":[172,197,228],"primary":[173],"goal":[174],"tackle":[180],"incorporating":[187],"preprocessing":[191],"techniques":[192],"dataset.":[196],"study":[198,229],"found":[199],"that":[200,243,257],"(EPS)":[204],"most":[207],"effective":[208,264],"imbalanced":[211,214,271,274],"outperforming":[216],"methods":[218],"including":[219],"OvA,":[220],"SMOTE,":[221],"k-means-SMOTE,":[222],"Bagging-RB,":[223],"DES-MI,":[224],"OvO-EASY,":[225],"OvO-SMB.":[227],"CART,":[231],"Random":[232],"Forest,":[233],"SVM":[235],"classifiers,":[237],"results":[240],"consistently":[241],"showed":[242],"EPS":[244,259],"outperformed":[245],"algorithms.":[248],"Based":[249],"on":[250],"findings,":[252],"can":[254],"be":[255],"concluded":[256],"highly":[263],"improving":[267],"performance":[269],"datasets.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}