{"id":"https://openalex.org/W2911646873","doi":"https://doi.org/10.3233/978-1-61499-939-3-330","title":"Traffic Accident Data Mining Based on Association Rules Theory","display_name":"Traffic Accident Data Mining Based on Association Rules Theory","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2911646873","doi":"https://doi.org/10.3233/978-1-61499-939-3-330","mag":"2911646873"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-939-3-330","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-939-3-330","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5101696325","display_name":"Meiying Li","orcid":"https://orcid.org/0000-0003-4802-5859"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li Meiying","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116396010","display_name":"Li Meiye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Meiye","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478487","display_name":"Xiaoxia Hu","orcid":"https://orcid.org/0000-0002-9115-3787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu Xiaoxia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100675623","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-1532-3473"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101696325"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03132473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.8734999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.8734999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.864300012588501,"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":0.8626000285148621,"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/association-rule-learning","display_name":"Association rule learning","score":0.770078182220459},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.5925652980804443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.579269528388977},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.5336217284202576},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5058445930480957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48888224363327026},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36963701248168945},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2345103621482849},{"id":"https://openalex.org/keywords/forensic-engineering","display_name":"Forensic engineering","score":0.23098701238632202},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13106805086135864},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.06569349765777588},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.062126219272613525}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.770078182220459},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.5925652980804443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.579269528388977},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.5336217284202576},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5058445930480957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48888224363327026},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36963701248168945},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2345103621482849},{"id":"https://openalex.org/C77595967","wikidata":"https://www.wikidata.org/wiki/Q3151013","display_name":"Forensic engineering","level":1,"score":0.23098701238632202},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13106805086135864},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.06569349765777588},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.062126219272613525},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-939-3-330","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-939-3-330","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560"],"abstract_inverted_index":{"Traffic":[0],"accident":[1,86],"is":[2,63,96],"one":[3],"of":[4,20,36,50,88],"the":[5,91],"most":[6],"important":[7],"topics":[8],"in":[9,16,57,69,81,102,113],"traffic":[10,13,67,85,114],"field,":[11],"and":[12,76,98],"accidents":[14,68,103],"happened":[15],"China":[17],"caused":[18],"thousands":[19],"casualties":[21],"every":[22],"year.":[23],"If":[24],"we":[25,32],"still":[26],"adopt":[27],"traditional":[28],"methods":[29],"to":[30,65,83],"analyze,":[31],"will":[33,104,118],"miss":[34],"lots":[35],"information.":[37],"As":[38],"for":[39,108],"big":[40],"data":[41,51,74,87],"analysis,":[42,52],"association":[43,92,100,111],"rules":[44,61,93,101,112],"theory,":[45],"as":[46],"a":[47],"new":[48],"method":[49],"has":[53],"been":[54],"widely":[55],"used":[56],"various":[58],"fields.":[59],"Association":[60],"theory":[62],"applied":[64],"analyze":[66],"this":[70],"paper.":[71],"The":[72],"multi-dimensional":[73],"warehouse":[75],"star":[77],"schema":[78],"are":[79],"designed":[80],"software":[82],"store":[84],"Guiyang,":[89],"then":[90],"mining":[94],"model":[95],"established":[97],"strong":[99,110],"be":[105,119],"obtained.":[106],"Finally,":[107],"these":[109],"accidents,":[115],"preventive":[116],"suggestions":[117],"put":[120],"forward.":[121]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
