{"id":"https://openalex.org/W3011367164","doi":"https://doi.org/10.1145/3377049.3377102","title":"Classification on Educational Performance Evaluation Dataset using Feature Extraction Approach","display_name":"Classification on Educational Performance Evaluation Dataset using Feature Extraction Approach","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3011367164","doi":"https://doi.org/10.1145/3377049.3377102","mag":"3011367164"},"language":"en","primary_location":{"id":"doi:10.1145/3377049.3377102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","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/A5103895560","display_name":"Majidur Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Majidur Rahman","raw_affiliation_strings":["Daffodil International University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113139046","display_name":"Antara Mahmud","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Antara Mahmud","raw_affiliation_strings":["Daffodil International University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103895560"],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6233555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9940999746322632,"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":0.9940999746322632,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9678000211715698,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9521999955177307,"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/computer-science","display_name":"Computer science","score":0.7063526511192322},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6426607370376587},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5727832317352295},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5435464382171631},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.540838360786438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5405172109603882},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.5208871364593506},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4761345684528351},{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.4722047746181488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.465654194355011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4064241051673889}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063526511192322},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6426607370376587},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5727832317352295},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5435464382171631},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.540838360786438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5405172109603882},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.5208871364593506},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4761345684528351},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.4722047746181488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.465654194355011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4064241051673889},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377049.3377102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","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":11,"referenced_works":["https://openalex.org/W1517040068","https://openalex.org/W2081934888","https://openalex.org/W2100788563","https://openalex.org/W2103235295","https://openalex.org/W2140190241","https://openalex.org/W2150364563","https://openalex.org/W2341148340","https://openalex.org/W2604319603","https://openalex.org/W2949300694","https://openalex.org/W2975373043","https://openalex.org/W4249913952"],"related_works":["https://openalex.org/W4205240985","https://openalex.org/W2314597598","https://openalex.org/W1527183021","https://openalex.org/W3125296675","https://openalex.org/W4235320026","https://openalex.org/W3124239800","https://openalex.org/W2365977737","https://openalex.org/W1577024311","https://openalex.org/W4387399630","https://openalex.org/W2170856278"],"abstract_inverted_index":{"With":[0],"the":[1,10,16,37,93,100,108,115,129,139,142,149,154,171,182],"drastic":[2],"drive":[3],"in":[4],"population":[5],"and":[6,29],"economy":[7],"of":[8,12,15,25,36,77,80,83,141,156,181],"Bangladesh,":[9],"urgency":[11],"higher":[13],"education":[14],"mass":[17],"is":[18,56],"also":[19],"extending.":[20],"Moreover,":[21],"due":[22],"to":[23,62,91,99],"scarcity":[24],"resources,":[26],"financial":[27],"support":[28],"many":[30,35],"other":[31],"convoluted":[32],"circumstances,":[33],"for":[34],"university":[38],"going":[39],"youth,":[40],"concentrating":[41],"on":[42,51,107,128,170],"study":[43],"becomes":[44],"arduous.":[45],"Such":[46],"phenomenon":[47],"implies":[48],"a":[49,75],"repercussion":[50],"their":[52],"academic":[53],"result;":[54],"which":[55,96,132,174],"absolutely":[57],"not":[58],"expected.":[59],"In":[60],"order":[61],"minimize":[63],"such":[64],"unwanted":[65],"damages,":[66],"we":[67,88,119,123,145,162],"have":[68,89,111,120,124,146,163],"carried":[69,166],"out":[70,148,167],"an":[71,136],"investigation":[72],"by":[73,114],"surveying":[74],"number":[76],"undergraduate":[78],"students":[79],"various":[81],"universities":[82],"Bangladesh.":[84],"Through":[85],"our":[86],"research,":[87],"tried":[90],"excavate":[92],"key":[94],"features":[95,109,152],"mostly":[97],"contribute":[98],"aforementioned":[101],"matter.":[102],"Our":[103],"research":[104],"primarily":[105],"focuses":[106],"that":[110,180],"been":[112],"extracted":[113,147],"feature":[116,157],"selection":[117],"process":[118],"implemented.":[121],"Firstly,":[122],"conducted":[125],"classifier":[126,168],"comparison":[127,169],"original":[130,183],"dataset":[131,173],"has":[133,175],"provided":[134],"us":[135],"insight":[137],"about":[138],"distribution":[140],"dataset.":[143,184],"Furthermore,":[144],"most":[150],"telling":[151],"with":[153],"help":[155],"importance":[158],"ranking":[159],"measure.":[160],"Finally,":[161],"once":[164],"again":[165],"reduced":[172],"demonstrated":[176],"better":[177],"accuracy":[178],"than":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}