{"id":"https://openalex.org/W2508619864","doi":"https://doi.org/10.1145/2905055.2905150","title":"Enhancing the capabilities of Student Result Prediction System","display_name":"Enhancing the capabilities of Student Result Prediction System","publication_year":2016,"publication_date":"2016-03-04","ids":{"openalex":"https://openalex.org/W2508619864","doi":"https://doi.org/10.1145/2905055.2905150","mag":"2508619864"},"language":"en","primary_location":{"id":"doi:10.1145/2905055.2905150","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies","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/A5067145402","display_name":"Pamela Chaudhury","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pamela Chaudhury","raw_affiliation_strings":["School of Computer Engineering, Kalinga Institute of Industrial Technology(KIIT) University, Bhubaneswar"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Kalinga Institute of Industrial Technology(KIIT) University, Bhubaneswar","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078067444","display_name":"Sushruta Mishra","orcid":"https://orcid.org/0000-0003-3929-1100"},"institutions":[{"id":"https://openalex.org/I3129960170","display_name":"Dr. C. V. Raman University","ror":"https://ror.org/00mc6bw20","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129960170"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sushruta Mishra","raw_affiliation_strings":["C V Raman College, Bhubaneswar"],"affiliations":[{"raw_affiliation_string":"C V Raman College, Bhubaneswar","institution_ids":["https://openalex.org/I3129960170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028973193","display_name":"Hrudaya Kumar Tripathy","orcid":"https://orcid.org/0000-0002-4960-6228"},"institutions":[{"id":"https://openalex.org/I94625822","display_name":"Northern University of Malaysia","ror":"https://ror.org/01ss10648","country_code":"MY","type":"education","lineage":["https://openalex.org/I94625822"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hrudaya Kumar Tripathy","raw_affiliation_strings":["School of Computing, Universiti of Utara Malaysia, Sintok, Kedah, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Universiti of Utara Malaysia, Sintok, Kedah, Malaysia","institution_ids":["https://openalex.org/I94625822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069972057","display_name":"Brojo Kishore","orcid":null},"institutions":[{"id":"https://openalex.org/I3129960170","display_name":"Dr. C. V. Raman University","ror":"https://ror.org/00mc6bw20","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129960170"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brojo Kishore","raw_affiliation_strings":["Mishra Dept. of IT, C V Raman College, Bhubaneswar"],"affiliations":[{"raw_affiliation_string":"Mishra Dept. of IT, C V Raman College, Bhubaneswar","institution_ids":["https://openalex.org/I3129960170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067145402"],"corresponding_institution_ids":["https://openalex.org/I67357951"],"apc_list":null,"apc_paid":null,"fwci":2.2106,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.90622753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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":0.9991999864578247,"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":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9854000210762024,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.982699990272522,"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":0.799897313117981},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6762562990188599},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6002272367477417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5627883672714233},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5625911951065063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5403310656547546},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5370136499404907},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5222830772399902},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4998626708984375},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.42772233486175537},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.12041011452674866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799897313117981},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6762562990188599},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6002272367477417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5627883672714233},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5625911951065063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5403310656547546},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5370136499404907},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5222830772399902},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4998626708984375},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.42772233486175537},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.12041011452674866},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2905055.2905150","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W180636390","https://openalex.org/W1495952552","https://openalex.org/W1528081447","https://openalex.org/W1838166440","https://openalex.org/W1881647329","https://openalex.org/W1912123407","https://openalex.org/W1924689489","https://openalex.org/W1984071766","https://openalex.org/W2005099394","https://openalex.org/W2006444123","https://openalex.org/W2039113369","https://openalex.org/W2079543877","https://openalex.org/W2118963717","https://openalex.org/W2138066437","https://openalex.org/W2139212933","https://openalex.org/W2140898374","https://openalex.org/W2148143831","https://openalex.org/W2507042856","https://openalex.org/W3193477162","https://openalex.org/W4248841288"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"In":[0],"the":[1,17,25,39,59,71,78,92,98,106,109,124,127],"age":[2],"of":[3,20,24,41,58,73,82,108,114,126],"information":[4],"and":[5,28,32,64,96],"communication":[6,33],"technology,":[7],"technology":[8],"is":[9,16,81],"being":[10,36],"used":[11,37],"in":[12,77],"every":[13],"domain.":[14],"Education":[15],"integral":[18],"part":[19],"our":[21],"society":[22],"consisting":[23],"teaching,":[26],"learning":[27,55,87],"evaluation":[29,51],"process.":[30],"Information":[31],"technologies":[34],"are":[35],"for":[38,102],"purpose":[40],"e":[42],"--learning,":[43],"measuring":[44],"student's":[45],"learning,":[46],"course":[47],"design,":[48],"student":[49,75],"performance":[50,57,72],"e.t.c.":[52],"Using":[53],"machine":[54,86],"techniques":[56,116],"students":[60,103],"has":[61,104,121],"been":[62,68],"studied":[63],"useful":[65],"results":[66,125],"have":[67],"derived.":[69],"Predicting":[70],"a":[74],"accurately":[76],"upcoming":[79],"exam":[80],"extreme":[83],"significance.":[84],"Every":[85],"tool":[88],"heavily":[89],"depends":[90],"upon":[91],"input":[93],"data.":[94],"Studying":[95],"implementing":[97],"elaborate":[99],"feature":[100],"set":[101],"improved":[105,123],"accuracy":[107],"prediction":[110,128],"system.":[111,129],"Further":[112],"use":[113],"preprocessing":[115],"along":[117],"with":[118],"classification":[119],"algorithms":[120],"significantly":[122]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
