{"id":"https://openalex.org/W3136895208","doi":"https://doi.org/10.1109/ccwc51732.2021.9376127","title":"Personalized Safety Instruction Recommendation for construction workers Based on Apriori Algorithm","display_name":"Personalized Safety Instruction Recommendation for construction workers Based on Apriori Algorithm","publication_year":2021,"publication_date":"2021-01-27","ids":{"openalex":"https://openalex.org/W3136895208","doi":"https://doi.org/10.1109/ccwc51732.2021.9376127","mag":"3136895208"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc51732.2021.9376127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9376127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101603200","display_name":"Ning Tang","orcid":"https://orcid.org/0000-0001-7377-5075"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Tang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084214981","display_name":"Hao Hu","orcid":"https://orcid.org/0000-0002-1103-0243"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Hu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052954223","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0001-9704-5528"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.3048,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89162011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1197","last_page":"1203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"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/T11357","display_name":"Risk and Safety Analysis","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.919700026512146,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.7802688479423523},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.6326971054077148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6153413653373718},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5848599076271057},{"id":"https://openalex.org/keywords/accident-analysis","display_name":"Accident analysis","score":0.4174915850162506},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.415846049785614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29773473739624023},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2597878575325012},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.21995341777801514},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07544955611228943}],"concepts":[{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.7802688479423523},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.6326971054077148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6153413653373718},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5848599076271057},{"id":"https://openalex.org/C2780591428","wikidata":"https://www.wikidata.org/wiki/Q2493120","display_name":"Accident analysis","level":2,"score":0.4174915850162506},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.415846049785614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29773473739624023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2597878575325012},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.21995341777801514},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07544955611228943},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc51732.2021.9376127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9376127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","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":14,"referenced_works":["https://openalex.org/W2007202336","https://openalex.org/W2039887324","https://openalex.org/W2052471880","https://openalex.org/W2055589113","https://openalex.org/W2064184144","https://openalex.org/W2083073421","https://openalex.org/W2105227939","https://openalex.org/W2106517282","https://openalex.org/W2120439128","https://openalex.org/W2751079608","https://openalex.org/W2942308758","https://openalex.org/W2946708055","https://openalex.org/W2965812933","https://openalex.org/W3019738576"],"related_works":["https://openalex.org/W2347219288","https://openalex.org/W2349943166","https://openalex.org/W2788191489","https://openalex.org/W2359506680","https://openalex.org/W4320489533","https://openalex.org/W2802780031","https://openalex.org/W2376839920","https://openalex.org/W2347447028","https://openalex.org/W3136895208","https://openalex.org/W4372340905"],"abstract_inverted_index":{"The":[0,50,103],"safety":[1,24,27,37,54,81,161,188,200],"management":[2,17,126],"is":[3,29,40,147],"a":[4],"focus":[5],"in":[6],"the":[7,23,46,53,62,67,107,151,172,182,186,196],"construction":[8,132],"industry,":[9],"and":[10,26,44,61,78,79,100,114,135,141,199],"accident":[11,59,71,82,90,92,94,98,155],"causal":[12,96,104],"factors":[13,105,156],"are":[14,19,106,168],"various.":[15],"Many":[16],"methods":[18],"applied":[20],"to":[21,123,130,149,157,170],"improve":[22,185],"state":[25],"instruction":[28,38,55,162,189],"an":[30],"essential":[31],"part":[32,110],"of":[33,88,111,175],"this.":[34],"However,":[35],"traditional":[36,187],"method":[39],"always":[41],"not":[42],"personalized":[43],"wastes":[45],"workers":[47],"more":[48,159,192],"time.":[49],"authors":[51,68],"improved":[52],"by":[56,73,190],"analysing":[57],"real":[58],"cases":[60,72,83],"rule-based":[63],"recommendation":[64],"method.":[65],"First,":[66],"analyzed":[69],"157":[70],"Systematic":[74],"Knowledge":[75],"Engineering":[76],"method,":[77],"found":[80],"mainly":[84],"contain":[85],"six":[86,120],"kinds":[87],"information:":[89],"expense,":[91],"types,":[93],"time,":[95],"factors,":[97],"location,":[99],"worker":[101,197],"types.":[102],"most":[108],"important":[109],"case":[112],"analysis,":[113],"they":[115],"can":[116,184],"be":[117],"divided":[118],"into":[119],"sub-causes":[121],"according":[122],"literature":[124],"review:":[125],"level,":[127],"input":[128],"resource":[129],"safety,":[131],"hazards,":[133],"equipment":[134],"materials,":[136],"weather,":[137],"qualification,":[138],"physical":[139],"condition,":[140],"mental":[142],"state.":[143],"Then":[144],"Apriori":[145,176],"algorithm":[146],"used":[148],"explore":[150],"association":[152],"among":[153,195],"these":[154],"recommend":[158],"precise":[160,193],"for":[163],"workers.":[164],"Finally,":[165],"expert":[166],"workshops":[167],"held":[169],"evaluate":[171],"analysis":[173],"results":[174,179],"algorithm.":[177],"Preliminary":[178],"show":[180],"that":[181],"model":[183],"providing":[191],"relationship":[194],"characterises":[198],"accidents.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
