A conceptual subspace clustering algorithm in e-learning

Huaiguo Fu, Mícheál Ó Foghlú

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

3 Citations (Scopus)

Abstract

In recent years, due to large amounts of network-based teaching and learning data continue to grow inexorably in size and complexity, knowledge clustering becomes more important in e-learning. This paper proposes a novel algorithm of cluster analysis to extract clusters in dense subspaces and the clusters can be described by overlapping hierarchical concepts. The experimental results show the algorithm is efficient to extract conceptual clusters in large data.

Original languageEnglish
Title of host publication10th International Conference on Advanced Communication Technology, ICACT 2008 - Proceedings
Pages1983-1988
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 10th International Conference on Advanced Communication Technology - Phoenix Park, Korea, Republic of
Duration: 17 Feb 200820 Feb 2008

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume3
ISSN (Print)1738-9445

Conference

Conference2008 10th International Conference on Advanced Communication Technology
Country/TerritoryKorea, Republic of
CityPhoenix Park
Period17/02/200820/02/2008

Keywords

  • Algorithm
  • Cluster analysis
  • Concept lattice
  • Conceptual clustering
  • Subspace clustering

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