{"id":"https://openalex.org/W4394994484","doi":"https://doi.org/10.1109/access.2024.3391749","title":"Ok-NB: An Enhanced OPTICS and k-Naive Bayes Classifier for Imbalance Classification With Overlapping","display_name":"Ok-NB: An Enhanced OPTICS and k-Naive Bayes Classifier for Imbalance Classification With Overlapping","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394994484","doi":"https://doi.org/10.1109/access.2024.3391749"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3391749","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3391749","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10506448.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/ielx7/6287639/6514899/10506448.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003677511","display_name":"Zahid Ahmed","orcid":"https://orcid.org/0009-0004-4230-4894"},"institutions":[{"id":"https://openalex.org/I197465736","display_name":"North Eastern Hill University","ror":"https://ror.org/055m2tx54","country_code":"IN","type":"education","lineage":["https://openalex.org/I197465736"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Zahid Ahmed","raw_affiliation_strings":["Department of Information Technology, North-Eastern Hill University, Shillong, India"],"raw_orcid":"https://orcid.org/0009-0004-4230-4894","affiliations":[{"raw_affiliation_string":"Department of Information Technology, North-Eastern Hill University, Shillong, India","institution_ids":["https://openalex.org/I197465736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060034165","display_name":"Biju Issac","orcid":"https://orcid.org/0000-0002-1109-8715"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Biju Issac","raw_affiliation_strings":["Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1109-8715","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042975763","display_name":"Sufal Das","orcid":"https://orcid.org/0000-0002-0998-2050"},"institutions":[{"id":"https://openalex.org/I197465736","display_name":"North Eastern Hill University","ror":"https://ror.org/055m2tx54","country_code":"IN","type":"education","lineage":["https://openalex.org/I197465736"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sufal Das","raw_affiliation_strings":["Department of Information Technology, North-Eastern Hill University, Shillong, India"],"raw_orcid":"https://orcid.org/0000-0002-0998-2050","affiliations":[{"raw_affiliation_string":"Department of Information Technology, North-Eastern Hill University, Shillong, India","institution_ids":["https://openalex.org/I197465736"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":1.6671,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85584476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"57458","last_page":"57477"},"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":0.9860000014305115,"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":0.980400025844574,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8477582931518555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7494428157806396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022475600242615},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.6797629594802856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6013020873069763},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5820266604423523},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5443758964538574},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5166702270507812},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48366960883140564},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4785197973251343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43347060680389404},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42172881960868835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40920236706733704},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2842041552066803}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8477582931518555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7494428157806396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022475600242615},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.6797629594802856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6013020873069763},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5820266604423523},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5443758964538574},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5166702270507812},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48366960883140564},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4785197973251343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43347060680389404},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42172881960868835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40920236706733704},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2842041552066803},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3391749","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3391749","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10506448.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:6d7d070535124174a0db0612a0c56ab8","is_oa":true,"landing_page_url":"https://doaj.org/article/6d7d070535124174a0db0612a0c56ab8","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 12, Pp 57458-57477 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3391749","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3391749","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10506448.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":[{"id":"https://metadata.un.org/sdg/13","score":0.550000011920929,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394994484.pdf","grobid_xml":"https://content.openalex.org/works/W4394994484.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W79970639","https://openalex.org/W627502383","https://openalex.org/W1433325481","https://openalex.org/W1533320424","https://openalex.org/W1541033774","https://openalex.org/W1586851133","https://openalex.org/W1930624869","https://openalex.org/W1965754471","https://openalex.org/W1989617207","https://openalex.org/W1996910954","https://openalex.org/W1999318832","https://openalex.org/W2057589484","https://openalex.org/W2082344779","https://openalex.org/W2085085514","https://openalex.org/W2085661130","https://openalex.org/W2095148636","https://openalex.org/W2104933073","https://openalex.org/W2132791018","https://openalex.org/W2134489982","https://openalex.org/W2138181354","https://openalex.org/W2146713522","https://openalex.org/W2147813562","https://openalex.org/W2148143831","https://openalex.org/W2149381612","https://openalex.org/W2172189177","https://openalex.org/W2185967890","https://openalex.org/W2189353026","https://openalex.org/W2209122160","https://openalex.org/W2273614765","https://openalex.org/W2338318698","https://openalex.org/W2512691369","https://openalex.org/W2519517504","https://openalex.org/W2548320181","https://openalex.org/W2593875029","https://openalex.org/W2778227677","https://openalex.org/W2806319584","https://openalex.org/W2897246201","https://openalex.org/W2898153843","https://openalex.org/W2899434936","https://openalex.org/W2909773576","https://openalex.org/W2964125309","https://openalex.org/W2970503812","https://openalex.org/W2972760795","https://openalex.org/W2990580840","https://openalex.org/W3025519219","https://openalex.org/W3046160598","https://openalex.org/W3047976641","https://openalex.org/W3100280481","https://openalex.org/W3109072952","https://openalex.org/W3123353479","https://openalex.org/W3209557542","https://openalex.org/W3217190137","https://openalex.org/W4226019082","https://openalex.org/W4377234810","https://openalex.org/W4388864515","https://openalex.org/W6607259140","https://openalex.org/W6637131181","https://openalex.org/W6729863568"],"related_works":["https://openalex.org/W1972450020","https://openalex.org/W2996897273","https://openalex.org/W1607432302","https://openalex.org/W83434975","https://openalex.org/W2031966294","https://openalex.org/W1584413767","https://openalex.org/W145653800","https://openalex.org/W2122175496","https://openalex.org/W2393473353","https://openalex.org/W2217683450"],"abstract_inverted_index":{"Class":[0],"imbalance":[1,210],"problems":[2,67],"have":[3,39],"received":[4],"a":[5,12,41],"lot":[6],"of":[7,30,197],"attention":[8],"throughout":[9],"the":[10,28,31,47,52,58,69,90,105,113,118,153,160,164,181,193],"last":[11],"few":[13],"years.":[14],"It":[15,124],"poses":[16],"considerable":[17],"hurdles":[18],"to":[19,50,61,85,110,117,146,185,202],"conventional":[20],"classifiers,":[21],"especially":[22],"when":[23],"combined":[24,145],"with":[25,57,133],"overlapping":[26,94,134,208],"instances,":[27],"complexity":[29],"classification":[32,143,148,188,213],"task":[33],"increases.":[34],"In":[35],"this":[36,198],"study,":[37],"we":[38],"proposed":[40,199],"novel":[42],"density-based":[43],"method":[44,82],"that":[45,152],"combines":[46],"Ordering":[48],"points":[49],"identify":[51,87],"clustering":[53],"structure":[54],"(OPTICS)":[55],"algorithm":[56],"naive-Bayes":[59,106],"approach":[60,183,200],"effectively":[62,180],"handle":[63],"overlapped":[64],"and":[65,72,88,95,102,127,135,141,150,190,195,209],"imbalanced":[66,136],"at":[68],"same":[70],"time":[71],"is":[73,83,108],"known":[74],"as":[75],"OPTICS-based":[76],"k-Naive":[77],"Bayes":[78],"(Ok-NB).":[79],"The":[80,175],"Ok-NB":[81],"used":[84,109],"correctly":[86,111],"construct":[89],"training":[91],"data":[92,115],"into":[93],"non-overlapping":[96],"groups":[97],"based":[98],"on":[99,171],"their":[100],"density":[101],"reachability,":[103],"while":[104],"technique":[107],"map":[112],"test":[114],"samples":[116],"appropriate":[119],"class":[120],"for":[121],"accurate":[122],"output.":[123],"offers":[125],"adaptability":[126],"reliability":[128],"in":[129,206,212],"classifying":[130],"complex":[131],"datasets":[132],"properties.":[137],"Cluster-based":[138],"proximity":[139],"assessment":[140],"probabilistic":[142],"are":[144,158],"improve":[147],"accuracy":[149,189],"guarantee":[151],"most":[154],"reliable":[155],"neighbors\u2019":[156],"opinions":[157],"given":[159],"greatest":[161],"weight":[162],"during":[163],"decision-making":[165],"process.":[166],"Extensive":[167],"experiments":[168],"were":[169],"conducted":[170],"21":[172],"benchmark":[173],"datasets.":[174],"experiment":[176],"results":[177],"demonstrate":[178],"how":[179],"suggested":[182],"works":[184],"achieve":[186],"high":[187],"also":[191],"prove":[192],"effectiveness":[194],"superiority":[196],"compared":[201],"existing":[203],"State-of-the-art":[204],"methods":[205],"tackling":[207],"challenges":[211],"tasks.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}