Document clustering based on concept lattice

László Kovács, Péter Baranyi

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

There is in our days an increasing interest on application of concept lattices for data mining, for representation of the concept hierarchy generated from the underlying data set. The paper represents a document query system that clusters the documents into groups using a generated concept lattice in the first phase. The users can start the query by entering a set of keywords. The system returns the concepts closest to the query vector. The users get a list of neighbouring concepts too, thus they can select the way to navigate to reach the result document set. The final result is produced using an iterative relevance refinement feedback method.

Original languageEnglish
Pages (from-to)91-96
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume7
Publication statusPublished - Dec 1 2002
Event2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia
Duration: Oct 6 2002Oct 9 2002

Keywords

  • Concept lattice
  • Document clustering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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