{"id":"https://openalex.org/W1805395760","doi":"https://doi.org/10.1007/978-0-387-77251-6_70","title":"Development of a Data Mining Application for Agriculture Based on Bayesian Networks","display_name":"Development of a Data Mining Application for Agriculture Based on Bayesian Networks","publication_year":2008,"publication_date":"2008-02-25","ids":{"openalex":"https://openalex.org/W1805395760","doi":"https://doi.org/10.1007/978-0-387-77251-6_70","mag":"1805395760"},"language":"en","primary_location":{"id":"doi:10.1007/978-0-387-77251-6_70","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77251-6_70","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-0-387-77251-6_70.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/978-0-387-77251-6_70.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100726374","display_name":"Jiejun Huang","orcid":"https://orcid.org/0000-0003-2595-4946"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiejun Huang","raw_affiliation_strings":["School of Resource and Environmental Engineering, Wuhan University of Technology, 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Engineering, Wuhan University of Technology, 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100867375","display_name":"Yanbin Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Yuan","raw_affiliation_strings":["School of Resource and Environmental Engineering, Wuhan University of Technology, 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Engineering, Wuhan University of Technology, 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101690223","display_name":"Wei Cui","orcid":"https://orcid.org/0000-0002-6857-3417"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cui","raw_affiliation_strings":["School of Resource and Environmental Engineering, Wuhan University of Technology, 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Engineering, Wuhan University of Technology, 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090660715","display_name":"Yunjun Zhan","orcid":"https://orcid.org/0000-0002-9500-2556"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjun Zhan","raw_affiliation_strings":["School of Resource and Environmental Engineering, Wuhan University of Technology, 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Engineering, Wuhan University of Technology, 430070, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"645","last_page":"652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9962000250816345,"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":0.9962000250816345,"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":0.9779000282287598,"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/T13058","display_name":"Soil and Land Suitability Analysis","score":0.9312000274658203,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.8221204280853271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6995846033096313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.619221031665802},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5979646444320679},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4971816837787628},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4817230999469757},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4616585671901703},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.46021854877471924},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45223212242126465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44695553183555603},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.32719409465789795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11076724529266357}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.8221204280853271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995846033096313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.619221031665802},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5979646444320679},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4971816837787628},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4817230999469757},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4616585671901703},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.46021854877471924},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45223212242126465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44695553183555603},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.32719409465789795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11076724529266357},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1007/978-0-387-77251-6_70","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77251-6_70","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-0-387-77251-6_70.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-0-387-77251-6_70","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77251-6_70","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-0-387-77251-6_70.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.75,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1805395760.pdf","grobid_xml":"https://content.openalex.org/works/W1805395760.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1545058848","https://openalex.org/W1963543753","https://openalex.org/W1979898991","https://openalex.org/W1983690667","https://openalex.org/W2003182005","https://openalex.org/W2008906462","https://openalex.org/W2017074109","https://openalex.org/W2044327045","https://openalex.org/W2055662515","https://openalex.org/W2073626374","https://openalex.org/W2089685362","https://openalex.org/W2095054284","https://openalex.org/W2112634639","https://openalex.org/W2117783440","https://openalex.org/W2119024335","https://openalex.org/W2165190832","https://openalex.org/W2166103330","https://openalex.org/W2401535536","https://openalex.org/W2525404874","https://openalex.org/W2779416796","https://openalex.org/W4253035605","https://openalex.org/W4285719527","https://openalex.org/W4302039983","https://openalex.org/W6677200364"],"related_works":["https://openalex.org/W2383034311","https://openalex.org/W2592745513","https://openalex.org/W643788828","https://openalex.org/W2391701421","https://openalex.org/W201565394","https://openalex.org/W2353852789","https://openalex.org/W4309448762","https://openalex.org/W1700460858","https://openalex.org/W4211221765","https://openalex.org/W2417824324"],"abstract_inverted_index":{"Data":[0],"mining":[1,69,165],"is":[2,40,153,159],"a":[3,41,50,67,121,134,160],"process":[4],"by":[5,119],"which":[6],"the":[7,54,84,93,98,107,113,116,126,150],"data":[8,23,57,68,118,130,164],"can":[9,101,111],"be":[10,102],"analyzed":[11],"so":[12],"as":[13,81,104],"to":[14,20,24,29,36],"generate":[15],"useful":[16],"knowledge.":[17],"It":[18],"aims":[19],"use":[21,52],"existing":[22],"invent":[25],"new":[26,31],"facts":[27],"and":[28,48,97,129,155,157],"uncover":[30],"relationships":[32,94,114],"previously":[33],"unknown":[34],"even":[35],"experts.":[37],"Bayesian":[38,75,87,122,141],"network":[39,142],"powerful":[42],"tool":[43],"for":[44,71,136,163],"dealing":[45],"with":[46],"uncertainties,":[47],"has":[49],"widespread":[51],"in":[53,86,115,166],"area":[55],"of":[56,66],"mining.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,132],"focus":[63],"on":[64,74,140],"development":[65],"application":[70,138],"agriculture":[72],"based":[73,139],"networks.":[76],"Let":[77],"features":[78],"(or":[79],"objects)":[80],"variables":[82,128],"or":[83],"nodes":[85],"network,":[88],"let":[89],"directed":[90],"edges":[91],"present":[92],"between":[95,106],"features,":[96],"relevancy":[99],"intensity":[100],"regarded":[103],"confidence":[105],"variables.":[108],"Accordingly,":[109],"it":[110,158],"find":[112],"agricultural":[117,137,167],"learning":[120,143],"network.":[123],"After":[124],"defining":[125],"domain":[127],"preparation,":[131],"construct":[133],"model":[135],"method.":[144],"The":[145],"experimental":[146],"results":[147],"indicate":[148],"that":[149],"proposed":[151],"method":[152],"feasible":[154],"efficient,":[156],"promising":[161],"approach":[162],"data.":[168]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}