{"id":"https://openalex.org/W2886584315","doi":"https://doi.org/10.1109/civemsa.2018.8439957","title":"Adaptive Weighting with SMOTE for Learning from Imbalanced Datasets: A Case Study for Traffic Offence Prediction","display_name":"Adaptive Weighting with SMOTE for Learning from Imbalanced Datasets: A Case Study for Traffic Offence Prediction","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2886584315","doi":"https://doi.org/10.1109/civemsa.2018.8439957","mag":"2886584315"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2018.8439957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2018.8439957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-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/A5030879082","display_name":"Naga Prasanthi Bobbili","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Naga Prasanthi Bobbili","raw_affiliation_strings":["Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028409084","display_name":"Ana-Maria Cre\u0163u","orcid":"https://orcid.org/0000-0002-0434-1393"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ana-Maria Cretu","raw_affiliation_strings":["Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario"],"affiliations":[{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030879082"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76622015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.8056308031082153},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7450662851333618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7049724459648132},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6165294051170349},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5935064554214478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5804272890090942},{"id":"https://openalex.org/keywords/ticket","display_name":"Ticket","score":0.5372306108474731},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5136072635650635},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.4832523465156555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45635277032852173},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.43309780955314636},{"id":"https://openalex.org/keywords/blacklist","display_name":"Blacklist","score":0.41923922300338745},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13959887623786926},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.11758378148078918}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8056308031082153},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7450662851333618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7049724459648132},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6165294051170349},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5935064554214478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5804272890090942},{"id":"https://openalex.org/C2776540713","wikidata":"https://www.wikidata.org/wiki/Q7800647","display_name":"Ticket","level":2,"score":0.5372306108474731},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5136072635650635},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.4832523465156555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45635277032852173},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.43309780955314636},{"id":"https://openalex.org/C2781345505","wikidata":"https://www.wikidata.org/wiki/Q2535979","display_name":"Blacklist","level":2,"score":0.41923922300338745},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13959887623786926},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.11758378148078918},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa.2018.8439957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2018.8439957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W22003769","https://openalex.org/W37871253","https://openalex.org/W1490989942","https://openalex.org/W1554944419","https://openalex.org/W1988570298","https://openalex.org/W2065293902","https://openalex.org/W2086748397","https://openalex.org/W2099454382","https://openalex.org/W2121981333","https://openalex.org/W2128965734","https://openalex.org/W2130802622","https://openalex.org/W2148143831","https://openalex.org/W2294246171","https://openalex.org/W6600896760","https://openalex.org/W6629597952"],"related_works":["https://openalex.org/W3172840274","https://openalex.org/W50122730","https://openalex.org/W2245533262","https://openalex.org/W3129811130","https://openalex.org/W3185731761","https://openalex.org/W2265547225","https://openalex.org/W4379616178","https://openalex.org/W4292158217","https://openalex.org/W2181543702","https://openalex.org/W3137818553"],"abstract_inverted_index":{"This":[0],"paper":[1,54],"proposes":[2],"to":[3],"augment":[4],"the":[5,53,56,67,81,87],"prediction":[6],"capability":[7],"of":[8,12,15,24,83,89],"a":[9,22,35,43,47,50,91],"classifier":[10],"or":[11],"an":[13,18],"ensemble":[14],"classifiers":[16],"for":[17,80],"imbalanced":[19],"set":[20],"using":[21],"combination":[23],"informed":[25],"sampling":[26],"based":[27],"on":[28],"SMOTE":[29],"(Synthetic":[30],"Minority":[31],"Oversampling":[32],"Technique)":[33],"and":[34,66],"post-classification":[36],"adaptive":[37],"weighting":[38],"that":[39],"takes":[40],"into":[41],"account":[42],"priori":[44],"knowledge":[45],"about":[46],"dataset.":[48],"As":[49],"case":[51],"study,":[52],"analyzes":[55],"relationship":[57],"between":[58],"traffic":[59,93],"tickets":[60],"(provincial":[61],"offence":[62,75],"notices),":[63],"their":[64],"types":[65],"trends":[68],"in":[69],"attributes":[70],"such":[71],"as":[72],"vehicle":[73],"type,":[74,76],"location,":[77],"ticket":[78],"status":[79],"city":[82],"Ottawa,":[84],"Canada":[85],"with":[86],"purpose":[88],"enabling":[90],"proactive":[92],"enforcement.":[94]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}