乐胖代购免代理版

{"id":"https://openalex.org/W3012712053","doi":"https://doi.org/10.1049/iet-sen.2018.5440","title":"Determining the best\u2010fit programmers using Bayes\u2019 theorem and artificial neural network","display_name":"Determining the best\u2010fit programmers using Bayes\u2019 theorem and artificial neural network","publication_year":2020,"publication_date":"2020-03-21","ids":{"openalex":"https://openalex.org/W3012712053","doi":"https://doi.org/10.1049/iet-sen.2018.5440","mag":"3012712053"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-sen.2018.5440","pdf_url":null,"source":{"id":"https://openalex.org/S164201770","display_name":"IET Software","issn_l":"1751-8806","issn":["1751-8806","1751-8814"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.1049/iet-sen.2018.5440","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043408051","display_name":"Sorada Prathan","orcid":"https://orcid.org/0000-0001-5766-7592"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Sorada Prathan","raw_affiliation_strings":["Department of Software Engineering, University of Malaya, Kuala Lumpur, 50603 Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, University of Malaya, Kuala Lumpur, 50603 Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074786296","display_name":"Siew Hock Ow","orcid":"https://orcid.org/0000-0002-4401-6405"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siew Hock Ow","raw_affiliation_strings":["Department of Software Engineering, University of Malaya, Kuala Lumpur, 50603 Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, University of Malaya, Kuala Lumpur, 50603 Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043408051"],"corresponding_institution_ids":["https://openalex.org/I33849332"],"apc_list":{"value":2000,"currency":"EUR","value_usd":2200,"provenance":"doaj"},"apc_paid":null,"fwci":0.238,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.744604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":69,"max":74},"biblio":{"volume":"14","issue":"4","first_page":"433","last_page":"442"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9794,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9794,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9747,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9437,"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/programmer","display_name":"Programmer","score":0.7861037},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.74324936},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.48525453},{"id":"https://openalex.org/keywords/best-practice","display_name":"Best practice","score":0.4683741}],"concepts":[{"id":"https://openalex.org/C2778514511","wikidata":"https://www.wikidata.org/wiki/Q1374194","display_name":"Programmer","level":2,"score":0.7861037},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.74324936},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.71072006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.696699},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6013231},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.56876224},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5561663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536912},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.55337375},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.48525453},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.4683741},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.42436564},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.41920578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37249786},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14004415},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-sen.2018.5440","pdf_url":null,"source":{"id":"https://openalex.org/S164201770","display_name":"IET Software","issn_l":"1751-8806","issn":["1751-8806","1751-8814"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-sen.2018.5440","pdf_url":null,"source":{"id":"https://openalex.org/S164201770","display_name":"IET Software","issn_l":"1751-8806","issn":["1751-8806","1751-8814"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41,"id":"https://metadata.un.org/sdg/9"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1603542031","https://openalex.org/W1970687742","https://openalex.org/W1975290983","https://openalex.org/W1982619870","https://openalex.org/W2017226165","https://openalex.org/W2042847815","https://openalex.org/W2052281826","https://openalex.org/W2059189632","https://openalex.org/W2088426136","https://openalex.org/W2093373400","https://openalex.org/W2140190241","https://openalex.org/W2169908627","https://openalex.org/W2183028846","https://openalex.org/W2234845577","https://openalex.org/W2272547161","https://openalex.org/W2335883663","https://openalex.org/W2509964709","https://openalex.org/W254455785","https://openalex.org/W2557903730","https://openalex.org/W2580897061","https://openalex.org/W2605043255","https://openalex.org/W2605870727","https://openalex.org/W2621397327","https://openalex.org/W2761561821","https://openalex.org/W2762726101","https://openalex.org/W2774174446","https://openalex.org/W2775516215","https://openalex.org/W2782989164","https://openalex.org/W2788453395","https://openalex.org/W2796808861","https://openalex.org/W2798507773","https://openalex.org/W2910524805","https://openalex.org/W2925230272","https://openalex.org/W3100612294","https://openalex.org/W3101068774","https://openalex.org/W3109530354","https://openalex.org/W4297790879","https://openalex.org/W628173091"],"related_works":["https://openalex.org/W4401343862","https://openalex.org/W4321635934","https://openalex.org/W3203638897","https://openalex.org/W3190721986","https://openalex.org/W3014272627","https://openalex.org/W2747837925","https://openalex.org/W2417174640","https://openalex.org/W2379153735","https://openalex.org/W2046172023","https://openalex.org/W2002383399"],"abstract_inverted_index":{"A":[0],"data":[1],"mining-based":[2],"technique":[3,24,119,132,150],"is":[4,54,69,84,120],"proposed":[5,23,149],"for":[6,56,71,122,144,155],"the":[7,12,17,49,58,62,66,73,80,103,118,124,141,145,167],"selection":[8,137],"and":[9,28,43,86,89,91,93,100,110,136],"employment":[10],"of":[11,19,61,107],"best-fit":[13,63,74,125,142],"programmers":[14],"to":[15,97,139,165,171],"meet":[16],"needs":[18],"software":[20,39],"companies.":[21],"The":[22,33,114,148],"incorporates":[25],"Bayes'":[26,52],"theorem":[27,53],"artificial":[29],"neural":[30],"network":[31],"(ANN).":[32],"datasets":[34,106],"used":[35,55,70],"were":[36],"from":[37],"two":[38,104],"companies":[40,128],"(Company":[41],"1":[42,109],"Company":[44,108,111],"2)":[45],"in":[46,133,157],"India,":[47],"covering":[48],"years":[50],"2010\u20132015.":[51],"identifying":[57],"prognostic":[59],"attributes":[60],"programmers,":[64],"while":[65],"ANN":[67,81],"classifier":[68,82],"predicting":[72,123],"programmers.":[75,126],"Using":[76],"a":[77,173],"confusion":[78],"matrix,":[79],"performance":[83],"97.2":[85],"87.3%,":[87],"95.8":[88],"54.5%,":[90],"100":[92],"75%":[94],"with":[95],"regard":[96],"accuracy,":[98],"precision,":[99],"recall":[101],"on":[102],"test":[105],"2,":[112],"respectively.":[113],"results":[115],"show":[116],"that":[117],"effective":[121],"Software":[127],"can":[129,151],"use":[130],"this":[131],"their":[134],"recruitment":[135],"process":[138],"determine":[140],"employees":[143],"programmer":[146],"posts.":[147],"also":[152],"be":[153],"adapted":[154],"application":[156],"other":[158],"disciplines":[159],"such":[160],"as":[161],"sports,":[162],"education,":[163],"etc.,":[164],"identify":[166],"most":[168],"suitable":[169],"person":[170],"fill":[172],"relevant":[174],"position.":[175]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3012712053","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2024-12-07T19:02:41.876225","created_date":"2020-03-27"}