An effective way to achieve excellence in research based learning using association rules

Tribikram Pradhan, Satya Ranjan Mishra, Veerendra Kumar Jain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Now-a-days the storage of a huge amount of data is very easy due to use of modern technologies, but the useful information that remains inside that storage media is unknown to us. The data mining provides us different techniques and rules that can be used to analyze and extract unknown rules, hidden patterns and associations from the previously stored data. Data mining technology is well implemented in the field of marketing, finance but not so familiar in education field. In this paper we are applying Apriori algorithm to find the hidden interest of a student, while selecting a subject from a group of elective subjects, the system will suggest some elective subjects according to student's interest, and the research paper related to that subjects or domain. The implemented Association rules and algorithms guide the students in an effective way to achieve excellence in their research based learning.

Original languageEnglish
Title of host publication2014 International Conference on Data Mining and Intelligent Computing, ICDMIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479946754
DOIs
Publication statusPublished - 12-11-2014
Event2014 International Conference on Data Mining and Intelligent Computing, ICDMIC 2014 - Delhi, India
Duration: 05-09-201406-09-2014

Conference

Conference2014 International Conference on Data Mining and Intelligent Computing, ICDMIC 2014
CountryIndia
CityDelhi
Period05-09-1406-09-14

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Software

Cite this

Pradhan, T., Mishra, S. R., & Jain, V. K. (2014). An effective way to achieve excellence in research based learning using association rules. In 2014 International Conference on Data Mining and Intelligent Computing, ICDMIC 2014 [6954226] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDMIC.2014.6954226