An efficient educational data mining approach to support e-learning

Padmaja Appalla, Venu Madhav Kuthadi, Tshilidzi Marwala

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Currently, data mining technique has become popular in online learning environment for learning as this technique works on huge amount of dataset. There are several e-learning systems which are based on the classroom, providing the natural interface of human-computer and the communication among to multimodality, and the computing technology of integrated pervasive in the classroom. The pervasive computing for the development of some of the requirements is being raised for system openness, scalability and extensibility. Everyone could access the materials of learning from anywhere with the help of internet. Increased access of users also leads to security requirements and higher efficiency in data retrieval. To address these concerns, we propose an educational data mining approach and OTP system for improving the efficiency of data retrieval and security. This system provides more accuracy in data mining and secure data transmission.

Original languageEnglish
Title of host publicationInformation Systems Design and Intelligent Applications - Proceedings of 3rd International Conference, INDIA 2016
EditorsSuresh Chandra Satapathy, Jyotsna Kumar Mandal, Siba K. Udgata, Vikrant Bhateja
PublisherSpringer Verlag
Pages63-75
Number of pages13
ISBN (Print)9788132227502
DOIs
Publication statusPublished - 2016
Event3rd International Conference on Information Systems Design and Intelligent Applications, INDIA 2016 - Visakhapatnam, India
Duration: 8 Jan 20169 Jan 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume434
ISSN (Print)2194-5357

Conference

Conference3rd International Conference on Information Systems Design and Intelligent Applications, INDIA 2016
Country/TerritoryIndia
CityVisakhapatnam
Period8/01/169/01/16

Keywords

  • JSM
  • OTP
  • RSA

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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