{"id":"https://openalex.org/W3153505674","doi":"https://doi.org/10.1186/s13634-021-00742-6","title":"Improved naive Bayes classification algorithm for traffic risk management","display_name":"Improved naive Bayes classification algorithm for traffic risk management","publication_year":2021,"publication_date":"2021-06-22","ids":{"openalex":"https://openalex.org/W3153505674","doi":"https://doi.org/10.1186/s13634-021-00742-6","mag":"3153505674"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-021-00742-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00742-6","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00742-6","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00742-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100420428","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0002-3764-1632"},"institutions":[{"id":"https://openalex.org/I4210101555","display_name":"Hubei University of Science and Technology","ror":"https://ror.org/018wg9441","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["School of Clinical Medicine, Hubei University of Science and Technology, Xianning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Clinical Medicine, Hubei University of Science and Technology, Xianning, China","institution_ids":["https://openalex.org/I4210101555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101725226","display_name":"HU Song-hua","orcid":"https://orcid.org/0000-0002-0524-9337"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songhua Hu","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026272006","display_name":"Rui Hua","orcid":"https://orcid.org/0000-0001-7450-4293"},"institutions":[{"id":"https://openalex.org/I4210101555","display_name":"Hubei University of Science and Technology","ror":"https://ror.org/018wg9441","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101555"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Hua","raw_affiliation_strings":["School of Mathematic and Statistic, Hubei University of Science and Technology, Xianning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematic and Statistic, Hubei University of Science and Technology, Xianning, China","institution_ids":["https://openalex.org/I4210101555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011384098","display_name":"Xiuju Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuju Zhao","raw_affiliation_strings":["School of Mathematic and Statistic, Hubei University of Arts and Science, Xiangyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematic and Statistic, Hubei University of Arts and Science, Xiangyang, China","institution_ids":["https://openalex.org/I4210113795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026272006"],"corresponding_institution_ids":["https://openalex.org/I4210101555"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1665},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1665},"fwci":14.4369,"has_fulltext":true,"cited_by_count":146,"citation_normalized_percentile":{"value":0.99164553,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9587000012397766,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9587000012397766,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9495999813079834,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.942300021648407,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.9131554365158081},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6420950293540955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6093546152114868},{"id":"https://openalex.org/keywords/bayesian-programming","display_name":"Bayesian programming","score":0.5979710817337036},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.596979558467865},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.5822590589523315},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.5674722194671631},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.5203685164451599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5160312652587891},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.45536983013153076},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44724833965301514},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41326022148132324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3894274830818176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3785400986671448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3723783493041992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3205389976501465},{"id":"https://openalex.org/keywords/bayes-factor","display_name":"Bayes factor","score":0.20527973771095276},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.19358813762664795}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.9131554365158081},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6420950293540955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6093546152114868},{"id":"https://openalex.org/C127043819","wikidata":"https://www.wikidata.org/wiki/Q16243608","display_name":"Bayesian programming","level":5,"score":0.5979710817337036},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.596979558467865},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.5822590589523315},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5674722194671631},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.5203685164451599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5160312652587891},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.45536983013153076},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44724833965301514},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41326022148132324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3894274830818176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3785400986671448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3723783493041992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3205389976501465},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.20527973771095276},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.19358813762664795},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-021-00742-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00742-6","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00742-6","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:74a2bed7b08b4804b0a793819752929b","is_oa":true,"landing_page_url":"https://doaj.org/article/74a2bed7b08b4804b0a793819752929b","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":"EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-12 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-021-00742-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00742-6","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00742-6","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5899999737739563},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329782","display_name":"Hubei University of Science and Technology","ror":"https://ror.org/018wg9441"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3153505674.pdf","grobid_xml":"https://content.openalex.org/works/W3153505674.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W49753005","https://openalex.org/W1480914602","https://openalex.org/W1522547150","https://openalex.org/W1988671308","https://openalex.org/W1997198694","https://openalex.org/W2018913718","https://openalex.org/W2025444607","https://openalex.org/W2025805141","https://openalex.org/W2029883122","https://openalex.org/W2047962437","https://openalex.org/W2129863591","https://openalex.org/W2154468968","https://openalex.org/W2166103330","https://openalex.org/W2239060899","https://openalex.org/W2282757201","https://openalex.org/W2338675851","https://openalex.org/W2519801594","https://openalex.org/W2729178053","https://openalex.org/W2729323185","https://openalex.org/W2741979111","https://openalex.org/W2783587842","https://openalex.org/W2890416773","https://openalex.org/W2896287217","https://openalex.org/W2899594065","https://openalex.org/W2901023064","https://openalex.org/W2903585290","https://openalex.org/W2903672000","https://openalex.org/W2914716043","https://openalex.org/W2920149333","https://openalex.org/W2924992339","https://openalex.org/W2943922427","https://openalex.org/W2947360309","https://openalex.org/W2953538266","https://openalex.org/W2966069873","https://openalex.org/W2969961625","https://openalex.org/W2973807855","https://openalex.org/W3013764451","https://openalex.org/W3083734305","https://openalex.org/W3098623161","https://openalex.org/W3098861310","https://openalex.org/W3105251098","https://openalex.org/W3198920429"],"related_works":["https://openalex.org/W2057359786","https://openalex.org/W1986699031","https://openalex.org/W1969985447","https://openalex.org/W2034570513","https://openalex.org/W2041448365","https://openalex.org/W2393473353","https://openalex.org/W2006328505","https://openalex.org/W2394466068","https://openalex.org/W2382684542","https://openalex.org/W3153505674"],"abstract_inverted_index":{"Abstract":[0],"Naive":[1],"Bayesian":[2],"classification":[3,31,50,72,107,124,146],"algorithm":[4,21,73,108,125,147],"is":[5,56,63,74,80,87,96,109,117],"widely":[6],"used":[7],"in":[8],"big":[9],"data":[10],"analysis":[11,134],"and":[12,19,38,44,78,91],"other":[13],"fields":[14],"because":[15],"of":[16,27,67,94,102,132],"its":[17],"simple":[18],"fast":[20],"structure.":[22],"Aiming":[23],"at":[24],"the":[25,28,46,60,65,68,84,92,100,103,120,129,142],"shortcomings":[26],"naive":[29,48,70,105,122,144],"Bayes":[30,49,71,106,123,145],"algorithm,":[32],"this":[33],"paper":[34],"uses":[35],"feature":[36],"weighting":[37],"Laplace":[39],"calibration":[40],"to":[41,137],"improve":[42,128],"it,":[43],"obtains":[45],"improved":[47,69,104,121,143],"algorithm.":[51],"Through":[52,113,139],"numerical":[53],"simulation,":[54],"it":[55,79,116],"found":[57,118],"that":[58,119],"when":[59,83],"sample":[61,85],"size":[62],"large,":[64],"accuracy":[66,101],"more":[75,110],"than":[76,89,98,111],"99%,":[77],"very":[81],"stable;":[82],"attribute":[86],"less":[88,97],"400":[90],"number":[93],"categories":[95],"24,":[99],"95%.":[112],"empirical":[114],"research,":[115],"can":[126],"greatly":[127],"correct":[130],"rate":[131],"discrimination":[133],"from":[135],"49.5":[136],"92%.":[138],"robustness":[140],"analysis,":[141],"has":[148],"higher":[149],"accuracy.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
