{"id":"https://openalex.org/W3192088335","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498685","title":"A Study into the Classification and Prediction of University Teachers' Workload Assessment Based on Naive Bayesian","display_name":"A Study into the Classification and Prediction of University Teachers' Workload Assessment Based on Naive Bayesian","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3192088335","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498685","mag":"3192088335"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc51323.2021.9498685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","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/A5009544095","display_name":"Zhan-Bo Liu","orcid":"https://orcid.org/0000-0002-3894-5398"},"institutions":[{"id":"https://openalex.org/I4210093324","display_name":"Mudanjiang Medical University","ror":"https://ror.org/00mc5wj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093324"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"ZhanBo Liu","raw_affiliation_strings":["Modern Educational Technology Center Mudanjiang Medical University, Mudanjiang, China"],"affiliations":[{"raw_affiliation_string":"Modern Educational Technology Center Mudanjiang Medical University, Mudanjiang, China","institution_ids":["https://openalex.org/I4210093324"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456902","display_name":"Xiaoli Wang","orcid":"https://orcid.org/0000-0002-4905-593X"},"institutions":[{"id":"https://openalex.org/I4210093324","display_name":"Mudanjiang Medical University","ror":"https://ror.org/00mc5wj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093324"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Wang","raw_affiliation_strings":["Modern Educational Technology Center Mudanjiang Medical University, Mudanjiang, China"],"affiliations":[{"raw_affiliation_string":"Modern Educational Technology Center Mudanjiang Medical University, Mudanjiang, China","institution_ids":["https://openalex.org/I4210093324"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697884","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-8330-2164"},"institutions":[{"id":"https://openalex.org/I4210093324","display_name":"Mudanjiang Medical University","ror":"https://ror.org/00mc5wj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093324"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["Office of Academic Research Mudanjiang Medical University, Mudanjiang, China"],"affiliations":[{"raw_affiliation_string":"Office of Academic Research Mudanjiang Medical University, Mudanjiang, China","institution_ids":["https://openalex.org/I4210093324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009544095"],"corresponding_institution_ids":["https://openalex.org/I4210093324"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14265861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"162","issue":null,"first_page":"1865","last_page":"1869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.9256517887115479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6739356517791748},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6455734968185425},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6406846046447754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5527997612953186},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5527052283287048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5005767345428467},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.44841307401657104},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2468530833721161},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.05800366401672363}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.9256517887115479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739356517791748},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6455734968185425},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6406846046447754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5527997612953186},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5527052283287048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5005767345428467},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.44841307401657104},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2468530833721161},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05800366401672363}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc51323.2021.9498685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W565267543","https://openalex.org/W2002352636","https://openalex.org/W2114245202","https://openalex.org/W2131049857","https://openalex.org/W2131613319","https://openalex.org/W2142246654","https://openalex.org/W2268812551","https://openalex.org/W2516066574","https://openalex.org/W2599615286","https://openalex.org/W2728499545","https://openalex.org/W2783587842","https://openalex.org/W2807728701","https://openalex.org/W2899594065","https://openalex.org/W2904172197","https://openalex.org/W2964005248","https://openalex.org/W2998254510","https://openalex.org/W3008511740","https://openalex.org/W3011830499"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W1989494794","https://openalex.org/W2122031327","https://openalex.org/W1184238669","https://openalex.org/W3032901101"],"abstract_inverted_index":{"This":[0,35,72],"paper":[1,36],"serves":[2],"the":[3,13,21,28,38,52,59,83],"management":[4],"system":[5],"of":[6,16,24,30,40,48,86],"college":[7,17,25,44],"teachers,":[8,18],"provides":[9],"decision":[10],"support":[11],"for":[12],"workload":[14,39],"assessment":[15,80,84],"and":[19,67,78],"predicts":[20],"teaching":[22],"burden":[23],"teachers":[26,41],"with":[27],"help":[29],"Naive":[31,60],"Bayesian":[32,61],"classification":[33,62,85],"model.":[34],"uses":[37],"in":[42,45],"a":[43,49,65],"16":[46],"years":[47],"university":[50,87],"as":[51],"data":[53],"basis.":[54],"The":[55],"experiment":[56],"proves":[57],"that":[58],"process":[63],"is":[64],"simple":[66],"easy":[68],"to":[69,76],"implement":[70],"method.":[71],"can":[73],"be":[74],"used":[75],"predict":[77],"assist":[79],"decision-making":[81],"on":[82],"teachers'":[88],"workload.":[89]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
