A tree based approach for concept maps construction in adaptive learning systems

Niharika Gupta, Vipul Mayank, M. Geetha, Shwetha Rai, Shyam Karanth

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

1 Citation (Scopus)

Abstract

A concept map is a diagram that depicts suggested relationships between concepts. The relationships are marked by a relevance degree that denotes the level of correlation between any two concepts. Concept map is a graphical tool used to structure and organize knowledge. In this project, a concept map will be generated based on a real-life dataset of how questions are answered by students (correctly or incorrectly) and the weight of the concepts in the questions. Several algorithms have been proposed to automatically construct concept maps. However, all these algorithms use Apriori algorithm to discover the frequent itemsets and get the association rules. Apriori algorithm requires several database scans, and thus, it is not efficient. A tree-based approach (i.e., FP tree algorithm) adopted in this project to overcome the drawbacks of the Apriori algorithm in the construction of concept maps for adaptive learning systems.

Original languageEnglish
Title of host publicationApplications and Techniques in Information Security - 9th International Conference, ATIS 2018, Proceedings
EditorsQingfeng Chen, Jia Wu, Shichao Zhang, Changan Yuan, Lynn Batten, Gang Li
PublisherSpringer Verlag
Pages172-182
Number of pages11
ISBN (Print)9789811329067
DOIs
Publication statusPublished - 2018
Event9th International Conference on Applications and Techniques in Information Security, ATIS 2018 - Nanning, China
Duration: 09-11-201811-11-2018

Publication series

NameCommunications in Computer and Information Science
Volume950
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference9th International Conference on Applications and Techniques in Information Security, ATIS 2018
Country/TerritoryChina
CityNanning
Period09-11-1811-11-18

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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