{"id":"https://openalex.org/W3080498298","doi":"https://doi.org/10.1145/3414274.3414280","title":"Statistic Analysis of Safety Accidents in Filling Stations Based on Big Data","display_name":"Statistic Analysis of Safety Accidents in Filling Stations Based on Big Data","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3080498298","doi":"https://doi.org/10.1145/3414274.3414280","mag":"3080498298"},"language":"en","primary_location":{"id":"doi:10.1145/3414274.3414280","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3414274.3414280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Data Science and Information Technology","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/A5090877758","display_name":"Heng Li","orcid":"https://orcid.org/0000-0003-4835-3705"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li Heng","raw_affiliation_strings":["Software Department Chongqing Institute of Engineering, Chongqing China"],"affiliations":[{"raw_affiliation_string":"Software Department Chongqing Institute of Engineering, Chongqing China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110229020","display_name":"Zhou Longfu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou Longfu","raw_affiliation_strings":["Software Department Chongqing Institute of Engineering, Chongqing China"],"affiliations":[{"raw_affiliation_string":"Software Department Chongqing Institute of Engineering, Chongqing China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042707977","display_name":"Yuan Kaiyou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Kaiyou","raw_affiliation_strings":["Software Department Chongqing Institute of Engineering, Chongqing China"],"affiliations":[{"raw_affiliation_string":"Software Department Chongqing Institute of Engineering, Chongqing China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090877758"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2939,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71586096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7332000136375427,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7332000136375427,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.641700029373169,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6796327829360962},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6739909648895264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6127293109893799},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.5657357573509216},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.4937466084957123},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.46511247754096985},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46368756890296936},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4599103331565857},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45284736156463623},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.41224682331085205},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.40389537811279297},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37232375144958496},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2759944200515747},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1440366506576538},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.11210456490516663},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09251618385314941}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6796327829360962},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6739909648895264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127293109893799},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.5657357573509216},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.4937466084957123},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.46511247754096985},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46368756890296936},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4599103331565857},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45284736156463623},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.41224682331085205},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.40389537811279297},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37232375144958496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2759944200515747},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1440366506576538},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.11210456490516663},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09251618385314941},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3414274.3414280","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3414274.3414280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Data Science and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2359776416","https://openalex.org/W2353788488","https://openalex.org/W2361916204","https://openalex.org/W2372011046","https://openalex.org/W2387495973","https://openalex.org/W2347464726","https://openalex.org/W2375704815","https://openalex.org/W2357504953","https://openalex.org/W2586006800","https://openalex.org/W3005406415"],"abstract_inverted_index":{"The":[0,44,115],"big":[1,119],"data":[2,6,18,66,120],"technology":[3,121],"which":[4],"taking":[5],"analysis":[7,102,137],"and":[8,16,25,35,59,71,76,80,109,128],"mining":[9],"as":[10],"core":[11],"can":[12],"efficiently":[13],"collect,":[14],"store":[15],"process":[17],"of":[19,39,49,94,103,130,135],"filling":[20,40,50],"station":[21,41,51],"safety":[22,42,52],"accident":[23],"cases,":[24],"further":[26],"realize":[27],"the":[28,99,104,124,131,142],"statistical":[29,101,136],"analysis,":[30],"knowledge":[31],"mining,":[32],"principle":[33],"summary":[34],"early":[36],"warning":[37],"forecast":[38],"accidents.":[43],"article":[45],"collected":[46],"461":[47],"cases":[48],"accidents":[53],"from":[54],"1981":[55],"to":[56,90],"2019":[57],"domestically":[58],"internationally.":[60],"Given":[61],"that":[62,118],"those":[63],"electronic":[64,95],"text":[65,96],"are":[67],"not":[68],"highly":[69],"standardized":[70],"cannot":[72],"be":[73],"directly":[74],"analyzed":[75],"utilized,":[77],"keyword":[78],"extraction":[79],"structured":[81,92,105],"storage":[82],"were":[83,113],"adopted":[84],"by":[85],"this":[86],"article,":[87],"in":[88,138,141],"order":[89],"implement":[91],"processing":[93],"data.":[97],"Through":[98],"multi-dimensional":[100],"data,":[106],"high-quality,":[107],"reliable,":[108],"practical":[110],"analytical":[111],"results":[112,116],"achieved.":[114],"demonstrated":[117],"would":[122],"become":[123],"main":[125],"development":[126],"stream":[127],"one":[129],"most":[132],"vital":[133],"weapons":[134],"various":[139],"industries":[140],"future.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
