{"id":"https://openalex.org/W3009767658","doi":null,"title":"Enhancing Student Performance Using Data Pre-Processing Techniques","display_name":"Enhancing Student Performance Using Data Pre-Processing Techniques","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W3009767658","mag":"3009767658"},"language":"en","primary_location":{"id":"mag:3009767658","doi":null,"is_oa":false,"landing_page_url":"https://www.jetir.org/papers/JETIRD006030.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764944466","display_name":"Journal of Emerging Technologies and Innovative Research","issn_l":"2349-5162","issn":["2349-5162"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322546156","host_organization_name":"Journal of Emerging Technologies and Innovative Research (JETIR)","host_organization_lineage":["https://openalex.org/P4322546156"],"host_organization_lineage_names":["Journal of Emerging Technologies and Innovative Research (JETIR)"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Emerging Technologies and Innovative Research","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5102750053","display_name":"Kapil Saxena","orcid":"https://orcid.org/0000-0001-9138-6102","observed_orcids":["https://orcid.org/0000-0001-9138-6102"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kapil Saxena","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9138-6102","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039612541","display_name":"Shailesh Jaloree","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shailesh Jaloree","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018665442","display_name":"Reena Thakur","orcid":"https://orcid.org/0000-0002-7595-6934","observed_orcids":["https://orcid.org/0000-0002-7595-6934"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reena Thakur","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7595-6934","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011434486","display_name":"Sachin Kamley","orcid":"https://orcid.org/0000-0003-2741-1670","observed_orcids":["https://orcid.org/0000-0003-2741-1670"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sachin Kamley","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2741-1670","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"8","first_page":"199-204","last_page":"199-204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9932000041007996,"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":0.9932000041007996,"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/T11719","display_name":"Data Quality and Management","score":0.003100000089034438,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0024999999441206455,"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/educational-data-mining","display_name":"educational data mining","score":0.8840000033378601},{"id":"https://openalex.org/keywords/data-preprocessing","display_name":"data preprocessing","score":0.8270000219345093},{"id":"https://openalex.org/keywords/data-cleaning","display_name":"data cleaning","score":0.8140000104904175},{"id":"https://openalex.org/keywords/data-integration","display_name":"data integration","score":0.9990000128746033},{"id":"https://openalex.org/keywords/data-normalization","display_name":"data normalization","score":0.8500000238418579},{"id":"https://openalex.org/keywords/student-performance","display_name":"student performance","score":0.9120000004768372},{"id":"https://openalex.org/keywords/knowledge-discovery","display_name":"knowledge discovery","score":0.9139999747276306}],"concepts":[{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.8198765516281128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919812202453613},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.7302995920181274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6631746888160706},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6607553958892822},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6514650583267212},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5724231004714966},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5417587757110596},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.5155606269836426},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.45572346448898315},{"id":"https://openalex.org/C162984825","wikidata":"https://www.wikidata.org/wiki/Q339072","display_name":"Database normalization","level":3,"score":0.4520454704761505},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4282796382904053},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4240993857383728},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4232519865036011},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3271285891532898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.274963915348053},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19441407918930054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.15388822555541992},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09324198961257935},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3009767658","doi":null,"is_oa":false,"landing_page_url":"https://www.jetir.org/papers/JETIRD006030.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764944466","display_name":"Journal of Emerging Technologies and Innovative Research","issn_l":"2349-5162","issn":["2349-5162"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322546156","host_organization_name":"Journal of Emerging Technologies and Innovative Research (JETIR)","host_organization_lineage":["https://openalex.org/P4322546156"],"host_organization_lineage_names":["Journal of Emerging Technologies and Innovative Research (JETIR)"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Emerging Technologies and Innovative Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.975600004196167}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1871743","https://openalex.org/W193988059","https://openalex.org/W1947706901","https://openalex.org/W2028795295","https://openalex.org/W2079777076","https://openalex.org/W2117389080","https://openalex.org/W2138334515","https://openalex.org/W2140190241","https://openalex.org/W2147825831","https://openalex.org/W2337280716"],"related_works":["https://openalex.org/W181005589","https://openalex.org/W3032891547","https://openalex.org/W3081867215","https://openalex.org/W7218417755","https://openalex.org/W7217177384","https://openalex.org/W2155805272","https://openalex.org/W1947706901","https://openalex.org/W7099316720","https://openalex.org/W2396474052","https://openalex.org/W7218069551"],"abstract_inverted_index":{"In":[0,23],"present":[1],"scenario,":[2],"education":[3,109],"data":[4,21,37,49,54,57,70,85,97,101,121],"mining":[5,55,127],"is":[6,61,86,113],"an":[7,62],"important":[8,32,63,96],"concern":[9],"and":[10,16,50,59,104,129],"develops":[11],"methods":[12],"to":[13,34,67,133],"find":[14],"hidden":[15],"useful":[17,39],"patterns":[18],"from":[19],"large":[20],"set.":[22],"this":[24],"way,":[25],"Knowledge":[26],"Discovery":[27],"in":[28,65,71],"Databases":[29],"(KDD)":[30],"provides":[31],"steps":[33,99],"convert":[35],"raw":[36],"into":[38],"information.":[40],"However,":[41],"quality":[42,135],"results":[43],"always":[44],"depend":[45],"on":[46],"the":[47,69],"collected":[48],"feature.":[51],"For":[52],"further":[53,126],"task,":[56],"collection":[58],"pre-processing":[60],"step":[64],"order":[66],"get":[68],"correct":[72],"form.":[73],"The":[75],"four":[76],"years":[77],"(2012-2015)":[78],"Government":[79],"Girls":[80],"College":[81],"(GGC),":[82],"Vidisha,":[83],"real":[84],"obtained":[87],"for":[88,108,125],"study":[89,93,116],"purpose.":[90],"This":[92],"mainly":[94],"highlights":[95],"preprocessing":[98,119],"like":[100],"cleaning,":[102],"integration":[103],"normalization":[105],"etc.":[106],"perspective.":[110],"Finally,":[111],"it":[112],"shown":[114],"by":[115],"that":[117],"after":[118],"task":[120,128],"can":[122],"be":[123,131],"used":[124],"will":[130],"helpful":[132],"achieve":[134],"results.":[136]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2020-03-13T00:00:00"}