Student Dropout Prediction & Educational Data Mining

Educational data like students performance is very important to study and analyze and to improve the quality of education. The study concerned to data mining techniques with educational data is known as Educational Data Mining (EDM). This study finds knowledge and interesting patterns in educational...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of engineering and advanced technology Vol. 9; no. 2; pp. 5190 - 5192
Main Authors Mardolkar, Mahesh, Kumaran, Dr. N.
Format Journal Article
LanguageEnglish
Published 30.12.2019
Online AccessGet full text
ISSN2249-8958
2249-8958
DOI10.35940/ijeat.B4246.129219

Cover

Abstract Educational data like students performance is very important to study and analyze and to improve the quality of education. The study concerned to data mining techniques with educational data is known as Educational Data Mining (EDM). This study finds knowledge and interesting patterns in educational organization. Students performance are the subject mainly concerned to find the qualitative model based on student’s personal and social factors then classify and predict the student performance. Proper counseling to underperforming students can reduce dropout ratio and help them to continue their studies.
AbstractList Educational data like students performance is very important to study and analyze and to improve the quality of education. The study concerned to data mining techniques with educational data is known as Educational Data Mining (EDM). This study finds knowledge and interesting patterns in educational organization. Students performance are the subject mainly concerned to find the qualitative model based on student’s personal and social factors then classify and predict the student performance. Proper counseling to underperforming students can reduce dropout ratio and help them to continue their studies.
Author Mardolkar, Mahesh
Kumaran, Dr. N.
Author_xml – sequence: 1
  givenname: Mahesh
  surname: Mardolkar
  fullname: Mardolkar, Mahesh
– sequence: 2
  givenname: Dr. N.
  surname: Kumaran
  fullname: Kumaran, Dr. N.
BookMark eNpNjztPwzAYRS1UJErpL2DxxJbgZ-JvhD4AqQgkult-BbkqTuU4A_-e0jJwl3umq3uu0ST1KSB0S0nNJQhyH3fBlPpRMNHUlAGjcIGmjAmoFEg1-cdXaD4MO3JMKxkndIrERxl9SAUvc3_ox4Lfc_DRldgnfIdXfnTml80eL00x-DWmmD5v0GVn9kOY__UMbder7eK52rw9vSweNpVTABUPgdsGOHdSeiqDNdZ2nZJcNaIVkjtQ4JhX0jDwnrLjf-Is7QgE0dhW8Bni51mX-2HIodOHHL9M_taU6JO6Pqnrk7o-q_MfHC9OUg
ContentType Journal Article
CorporateAuthor Research Scholar, Department of Computer & Information Science, Annamalai University, Chidambaram, Tamil Nadu, India
Department of Computer & Information Science, Annamalai University, Chidambaram, Tamil Nadu, India
CorporateAuthor_xml – name: Research Scholar, Department of Computer & Information Science, Annamalai University, Chidambaram, Tamil Nadu, India
– name: Department of Computer & Information Science, Annamalai University, Chidambaram, Tamil Nadu, India
DBID AAYXX
CITATION
DOI 10.35940/ijeat.B4246.129219
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 2249-8958
EndPage 5192
ExternalDocumentID 10_35940_ijeat_B4246_129219
GroupedDBID AAYXX
ALMA_UNASSIGNED_HOLDINGS
CITATION
M~E
ID FETCH-LOGICAL-c899-3ee3b6933c55d15ebabbff8538647453c989c2d85a29dd124240cb1f09e46b743
ISSN 2249-8958
IngestDate Tue Jul 01 01:36:23 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 2
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c899-3ee3b6933c55d15ebabbff8538647453c989c2d85a29dd124240cb1f09e46b743
OpenAccessLink https://doi.org/10.35940/ijeat.b4246.129219
PageCount 3
ParticipantIDs crossref_primary_10_35940_ijeat_B4246_129219
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-12-30
PublicationDateYYYYMMDD 2019-12-30
PublicationDate_xml – month: 12
  year: 2019
  text: 2019-12-30
  day: 30
PublicationDecade 2010
PublicationTitle International journal of engineering and advanced technology
PublicationYear 2019
SSID ssj0000752301
Score 2.0922623
Snippet Educational data like students performance is very important to study and analyze and to improve the quality of education. The study concerned to data mining...
SourceID crossref
SourceType Index Database
StartPage 5190
Title Student Dropout Prediction & Educational Data Mining
Volume 9
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwELYWeukF2tKKR1v5UPWyJKyfuz62pRWqFC4sErfIr6g8tFQ0e-HAb2dsZ7OmrFDpxUqsaBRnPo2_mYxnEPokLBl5K2Qx9k4VXNCmMMyrgvBGOUo9ky6cHa6O5dEp_3kmzgaDJstamremtLcrz5X8j1ZhDvQaTsk-Q7O9UJiAa9AvjKBhGP9JxyepMOXwMLQ6mLchn8Kd216jffJGMG261cMqdoPI-ejDgGBWRsIv6xSmeq6LXIH2USy-ApBdX12mTO1K__J_-hBzTOBOIdbDm3J4XOZBBhI7JHT_S6Itgo1eFROVqqyXfsVcZ0xVhhmaGUYgiqNsk4VbusqAM6F4SHk8v4CdqPzKKZclMJKFWX1QLvuvbaxPLgS3Joqpo5A6CqmTkDX0goI7ETpdVHfLWBzQJvDEgm_erykVqIpyDh6_TEZiMjYyfYU2OjcCf0mYeI0GfvYGbS5adODOYm8h3kEEdxDBS4jgzzgDCA4AwQkgb9H0x_fpt6Oia5RRWHCXC-Y9M1IxZoVwRHijjWka4GETycdcMKsmylI3EZoq50g4EDSyhjQj5bk0QCHfofXZ9cxvI2wbyzTRXhKpueIgx4-l4JZoJ5SiZgftLxZe_07lUOonvvfu8x7fQy-X4HuP1tubuf8AnK81H6PC7gEStFU2
linkProvider ISSN International Centre
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Student+Dropout+Prediction+%26+Educational+Data+Mining&rft.jtitle=International+journal+of+engineering+and+advanced+technology&rft.au=Mardolkar%2C+Mahesh&rft.au=Kumaran%2C+Dr.+N.&rft.date=2019-12-30&rft.issn=2249-8958&rft.eissn=2249-8958&rft.volume=9&rft.issue=2&rft.spage=5190&rft.epage=5192&rft_id=info:doi/10.35940%2Fijeat.B4246.129219&rft.externalDBID=n%2Fa&rft.externalDocID=10_35940_ijeat_B4246_129219
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2249-8958&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2249-8958&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2249-8958&client=summon