{"id":"https://openalex.org/W2887939640","doi":"https://doi.org/10.1142/s0218001419590110","title":"Bayes Performance of Batch Data Mining Based on Functional Dependencies","display_name":"Bayes Performance of Batch Data Mining Based on Functional Dependencies","publication_year":2018,"publication_date":"2018-08-06","ids":{"openalex":"https://openalex.org/W2887939640","doi":"https://doi.org/10.1142/s0218001419590110","mag":"2887939640"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419590110","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419590110","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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":"International Journal of Pattern Recognition and Artificial Intelligence","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":"https://openalex.org/A5103423414","display_name":"Haixu Xi","orcid":"https://orcid.org/0000-0003-4099-9819"},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haixu Xi","raw_affiliation_strings":["School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China","institution_ids":["https://openalex.org/I4210144214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109275333","display_name":"Feiyue Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyue Ye","raw_affiliation_strings":["School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China","institution_ids":["https://openalex.org/I4210144214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680826","display_name":"Sheng He","orcid":"https://orcid.org/0000-0002-7142-8990"},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng He","raw_affiliation_strings":["School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China","institution_ids":["https://openalex.org/I4210144214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039387461","display_name":"Shuaicheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Liu","raw_affiliation_strings":["School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China","institution_ids":["https://openalex.org/I4210144214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017041918","display_name":"Hongfen Jiang","orcid":"https://orcid.org/0009-0002-5484-4922"},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfen Jiang","raw_affiliation_strings":["School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu University of Technology, Changzhou, P. R. China","institution_ids":["https://openalex.org/I4210144214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103423414"],"corresponding_institution_ids":["https://openalex.org/I4210144214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10436571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"03","first_page":"1959011","last_page":"1959011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9934999942779541,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7882826328277588},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6528224349021912},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6016863584518433},{"id":"https://openalex.org/keywords/batch-processing","display_name":"Batch processing","score":0.5749194622039795},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5720077753067017},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.49261337518692017},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4692744314670563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45320984721183777},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4353538155555725},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4318177103996277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41258910298347473},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2995518445968628},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18669840693473816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882826328277588},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6528224349021912},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6016863584518433},{"id":"https://openalex.org/C172658912","wikidata":"https://www.wikidata.org/wiki/Q661613","display_name":"Batch processing","level":2,"score":0.5749194622039795},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5720077753067017},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.49261337518692017},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4692744314670563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45320984721183777},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4353538155555725},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4318177103996277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41258910298347473},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2995518445968628},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18669840693473816},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419590110","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419590110","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1984872964","https://openalex.org/W2006876602","https://openalex.org/W2021739900","https://openalex.org/W2038759020","https://openalex.org/W2066046820","https://openalex.org/W2076051615","https://openalex.org/W2096438591","https://openalex.org/W2129092346","https://openalex.org/W2135311261","https://openalex.org/W2146389003","https://openalex.org/W2161437109","https://openalex.org/W2166486541","https://openalex.org/W2323127059","https://openalex.org/W3150411600","https://openalex.org/W4393261769"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W2580722822","https://openalex.org/W2394466068","https://openalex.org/W4205620398","https://openalex.org/W3107438949","https://openalex.org/W2373418966"],"abstract_inverted_index":{"Batch":[0],"processes":[1],"and":[2,15,118,164],"phenomena":[3],"in":[4,47,61,97],"traffic":[5,11,39,171],"video":[6,12,40,172],"data":[7,41,76,98,176],"processing,":[8],"such":[9],"as":[10],"image":[13],"processing":[14,25,42,45,173],"intelligent":[16],"transportation,":[17],"are":[18],"commonly":[19],"used.":[20],"The":[21,123],"application":[22],"of":[23,30,75,125,143,155],"batch":[24,44,170],"can":[26],"increase":[27],"the":[28,68,104,144],"efficiency":[29],"resource":[31],"conservation.":[32],"However,":[33],"owing":[34],"to":[35,85,112],"limited":[36],"research":[37],"on":[38,108],"conditions,":[43],"activities":[46],"this":[48,62,102,132],"area":[49,74],"remain":[50],"minimally":[51],"examined.":[52],"By":[53],"employing":[54],"database":[55,110],"functional":[56],"dependency":[57],"mining,":[58],"we":[59],"developed":[60],"study":[63],"a":[64,72,120,169],"workflow":[65],"system.":[66],"Meanwhile,":[67],"Bayesian":[69,129],"network":[70],"is":[71,94,137,158],"focus":[73],"mining.":[77],"It":[78],"provides":[79],"an":[80],"intuitive":[81],"means":[82],"for":[83,175],"users":[84],"comply":[86],"with":[87],"causality":[88],"expression":[89],"approaches.":[90],"Moreover,":[91],"graph":[92],"theory":[93],"also":[95],"used":[96,138],"mining":[99,166],"area.":[100],"In":[101],"study,":[103],"proposed":[105],"approach":[106],"depends":[107],"relational":[109],"functions":[111],"remove":[113],"redundant":[114],"attributes,":[115],"reduce":[116],"interference,":[117],"select":[119],"property":[121,133],"order.":[122],"restoration":[124],"selective":[126],"hidden":[127,145],"naive":[128,146],"(SHNB)":[130],"affects":[131],"order":[134],"when":[135],"it":[136,157],"only":[139],"once.":[140],"With":[141],"consideration":[142],"Bayes":[147],"(HNB)":[148],"influence,":[149],"rather":[150],"than":[151],"using":[152],"one":[153],"pair":[154],"HNB,":[156],"introduced":[159],"twice.":[160],"We":[161],"additionally":[162],"designed":[163],"implemented":[165],"dependencies":[167],"from":[168],"log":[174],"execution":[177],"algorithms.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}