SciELO - Scientific Electronic Library Online

 
vol.17 issue4Efficient use of Pivots for Approximate Search in Metric Spaces author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Computación y Sistemas

On-line version ISSN 2007-9737Print version ISSN 1405-5546

Abstract

ATKINSON, John; FIGUEROA, Alejandro  and  PEREZ, Claudio. A Semantically-based Lattice Approach for Assessing Patterns in Text Mining Tasks. Comp. y Sist. [online]. 2013, vol.17, n.4, pp.467-476. ISSN 2007-9737.

In this paper, a new approach to automatically assessing patterns in text mining is proposed. It combines corpus based semantics and Formal Concept Analysis in order to deal with semantic and structural properties for concepts discovered in tasks such as generation of association rules. Experiments show the promise of our evaluation method to effectively assess discovered patterns when compared with other state-of-the-artevaluation methods.

Keywords : Text mining; concept lattices; semantic analysis; association rules.

        · abstract in Spanish     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License