{"id":"https://openalex.org/W4372215592","doi":"https://doi.org/10.1145/3584748.3584777","title":"Application analysis of quality evaluation model based on multi-source data mining","display_name":"Application analysis of quality evaluation model based on multi-source data mining","publication_year":2022,"publication_date":"2022-12-29","ids":{"openalex":"https://openalex.org/W4372215592","doi":"https://doi.org/10.1145/3584748.3584777"},"language":"en","primary_location":{"id":"doi:10.1145/3584748.3584777","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584748.3584777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","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/A5056367876","display_name":"Jia Yun","orcid":"https://orcid.org/0000-0001-7154-5102"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Yun","raw_affiliation_strings":["Wuhan Business University, China"],"raw_orcid":"https://orcid.org/0000-0001-7154-5102","affiliations":[{"raw_affiliation_string":"Wuhan Business University, China","institution_ids":["https://openalex.org/I4210111616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056367876"],"corresponding_institution_ids":["https://openalex.org/I4210111616"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13567","display_name":"AI and Multimedia in Education","score":0.9947999715805054,"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/T13567","display_name":"AI and Multimedia in Education","score":0.9947999715805054,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9933000206947327,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375351190567017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5808956623077393},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4551021158695221},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44239088892936707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375351190567017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5808956623077393},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4551021158695221},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44239088892936707},{"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:10.1145/3584748.3584777","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584748.3584777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2913917029","https://openalex.org/W3044836545","https://openalex.org/W3048265595","https://openalex.org/W3084228693","https://openalex.org/W3094462122","https://openalex.org/W3133268304","https://openalex.org/W3159647216","https://openalex.org/W3174021965","https://openalex.org/W3194161514","https://openalex.org/W3204959541"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,33,46,64,70,108,126,139],"improve":[3],"the":[4,35,39,48,51,55,58,65,71,83,114,128,141,149,158],"accuracy":[5,166],"and":[6,54,73,104,117,122,147,167],"efficiency":[7],"of":[8,16,75,130],"talent":[9,36,84,142],"training":[10,37,143],"quality":[11,17,59,144],"evaluation,":[12],"a":[13],"design":[14],"method":[15,43,121,125,160],"evaluation":[18,52,60,66,85,111,115,132,145,151,165],"model":[19,146],"based":[20],"on":[21],"multi-source":[22,40],"data":[23,28,41],"mining":[24,42],"is":[25,31,44,62,87],"proposed.":[26],"The":[27,153],"processing":[29],"technology":[30],"used":[32,45],"preprocess":[34],"data,":[38],"classify":[47],"information":[49,56],"in":[50,57,164],"database,":[53],"database":[61],"mapped":[63],"index":[67],"system.":[68],"According":[69],"diversity":[72],"complexity":[74],"knowledge":[76,90],"modules":[77],"required":[78],"by":[79],"aviation":[80],"service":[81,105],"talents,":[82],"system":[86],"divided":[88],"into":[89],"literacy":[91,106],"module,":[92,96,99],"interpersonal":[93],"communication":[94],"ability":[95,102],"work":[97],"status":[98],"foreign":[100],"language":[101],"module":[103,107],"obtain":[109,148],"various":[110],"indicators.":[112],"Set":[113],"standard,":[116],"use":[118,135],"Likert":[119],"scale":[120],"standard":[123],"deviation":[124],"calculate":[127],"weight":[129],"each":[131],"index.":[133],"Finally,":[134],"BP":[136],"neural":[137],"network":[138],"build":[140],"final":[150],"result.":[152],"experimental":[154],"results":[155],"show":[156],"that":[157],"proposed":[159],"has":[161],"obvious":[162],"advantages":[163],"efficiency.":[168]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}