{"id":"https://openalex.org/W4388936916","doi":"https://doi.org/10.1109/icccnt56998.2023.10307185","title":"Predicting Student Placement using PCA and Machine Learning Technique","display_name":"Predicting Student Placement using PCA and Machine Learning Technique","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388936916","doi":"https://doi.org/10.1109/icccnt56998.2023.10307185"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307185","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5036590503","display_name":"Vinayak Hegde","orcid":"https://orcid.org/0000-0002-5415-7041"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vinayak Hegde","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Department of Computer Science School of Computing,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Department of Computer Science School of Computing,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032590863","display_name":"Abhinav Maurya","orcid":"https://orcid.org/0000-0001-5898-4928"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav M R","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Department of Computer Science School of Computing,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Department of Computer Science School of Computing,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093323858","display_name":"C Roshin","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Roshin C","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Department of Computer Science School of Computing,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Department of Computer Science School of Computing,India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036590503"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":1.3893,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86896904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10162","display_name":"Online and Blended Learning","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9379000067710876,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7594181895256042},{"id":"https://openalex.org/keywords/attendance","display_name":"Attendance","score":0.7295047044754028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294845581054688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6021063327789307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5788360238075256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.505950391292572},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5013852119445801},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.43702417612075806},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.4365120232105255},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4209461808204651}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7594181895256042},{"id":"https://openalex.org/C2778173179","wikidata":"https://www.wikidata.org/wiki/Q25339289","display_name":"Attendance","level":2,"score":0.7295047044754028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294845581054688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6021063327789307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5788360238075256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505950391292572},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5013852119445801},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.43702417612075806},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.4365120232105255},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4209461808204651},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307185","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2563138197","https://openalex.org/W2746645520","https://openalex.org/W2953211049","https://openalex.org/W3089984678","https://openalex.org/W3151518498","https://openalex.org/W3204626774","https://openalex.org/W4255893403","https://openalex.org/W4283394459","https://openalex.org/W4285122274","https://openalex.org/W4285815715","https://openalex.org/W4308437368","https://openalex.org/W4312309998","https://openalex.org/W4312878254","https://openalex.org/W4411058197"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W2013696174","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W3191198889"],"abstract_inverted_index":{"Student":[0],"placement":[1,251],"plays":[2],"a":[3,12,127,164,196,217,222],"crucial":[4,123,255,276],"role":[5],"in":[6,51,180],"educational":[7],"institutions,":[8],"as":[9],"it":[10,36],"is":[11,100,191,205,254,282],"factor":[13],"measure":[14],"to":[15,39,102,110,142,150,163,183,194,212,221,243,256,277],"identify":[16,143,173],"the":[17,52,73,97,104,107,112,117,144,151,160,174,181,185,208,214,225,230,236,245,259,266,271,280],"performance":[18],"of":[19,24,54,75,106,119,130,153,167,203,216,249,270],"an":[20,49],"institution.":[21],"Timely":[22],"identification":[23],"student\u2019s":[25,128],"CGPA":[26],"range":[27],"can":[28,137],"reduce":[29,103],"concerns":[30],"about":[31],"students\u2019":[32],"academic":[33],"life":[34],"and":[35,42,88,109,169,178,199,227,247,268,286],"will":[37],"help":[38],"improve":[40],"success":[41],"avoid":[43],"risks.":[44],"Recently,":[45],"there":[46],"has":[47,240],"been":[48,241],"upsurge":[50],"use":[53],"machine":[55],"learning":[56],"techniques":[57],"for":[58,66],"prediction,":[59,237],"this":[60,238],"research":[61],"focuses":[62],"on":[63,72,79,207,229,265],"random":[64,188],"forest":[65,189],"student":[67,76,120,218,250],"prediction.":[68,252],"This":[69],"paper":[70],"focus":[71],"prediction":[74,118],"placements":[77],"based":[78],"criteria":[80],"like":[81],"attendance,":[82],"backlog,":[83],"communication,":[84],"programming":[85],"skill,":[86],"verbal":[87],"aptitude":[89],"exam":[90],"over":[91],"more":[92],"than":[93],"500":[94],"samples,":[95],"then":[96,192],"PCA":[98,141,156],"technique":[99],"used":[101,193],"dimensionality":[105],"dataset":[108,162,226],"pinpoint":[111],"key":[113],"elements":[114,124],"that":[115,125,148,234,258],"influence":[116,126],"placement.The":[121],"most":[122,145,175,231],"likelihood":[129],"finding":[131],"employment":[132],"after":[133],"completing":[134],"their":[135],"studies":[136],"be":[138],"determined.":[139],"Used":[140],"important":[146,232],"features":[147],"contribute":[149],"probability":[152,215],"pupil":[154],"placement.":[155],"works":[157],"by":[158],"modifying":[159],"initial":[161],"fresh":[165],"set":[166,211],"variables,":[168],"principal":[170],"elements,":[171],"which":[172],"significant":[176],"patterns":[177],"variations":[179],"data":[182],"increase":[184,244],"accuracy.":[186],"The":[187],"algorithm":[190],"build":[195],"predictive":[197],"model":[198,281],"achieved":[200],"97":[201],"percentage":[202],"accuracy,that":[204],"trained":[206],"reduced":[209],"feature":[210],"Identify":[213],"being":[219],"assigned":[220],"job.By":[223],"simplifying":[224],"focusing":[228],"factors":[233],"affect":[235],"method":[239],"demonstrated":[242],"efficiency":[246],"accuracy":[248,263],"It":[253],"remember":[257],"Random":[260],"Forest":[261],"model\u2019s":[262],"depends":[264],"calibre":[267],"relevance":[269],"input":[272],"data.":[273],"Additionally,":[274],"it\u2019s":[275],"make":[278],"sure":[279],"applied":[283],"ethically,":[284],"fairly,":[285],"without":[287],"any":[288],"prejudice":[289],"or":[290],"discrimination.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
