A Semantically-based Lattice Approach for Assessing Patterns in Text Mining Tasks
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Politécnico Nacional
2013
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| _version_ | 1876440952196825088 |
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| author | John Atkinson |
| author_facet | John Atkinson |
| contents | A Semantically-based Lattice Approach for Assessing Patterns in Text Mining Tasks John Atkinson Alejandro Figueroa Claudio Perez Computación Text mining concept lattices semantic analysis association rules 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-art evaluation methods. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61529295002 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.17 |
| format | Artículo científico |
| id | redalyc_61529295002 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | A Semantically-based Lattice Approach for Assessing Patterns in Text Mining Tasks John Atkinson Computación Text mining concept lattices semantic analysis association rules A Semantically-based Lattice Approach for Assessing Patterns in Text Mining Tasks John Atkinson Alejandro Figueroa Claudio Perez Computación Text mining concept lattices semantic analysis association rules 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-art evaluation methods. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61529295002 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.17 |
| title | A Semantically-based Lattice Approach for Assessing Patterns in Text Mining Tasks |
| topic | Computación Text mining concept lattices semantic analysis association rules |
| url | https://www.redalyc.org/articulo.oa?id=61529295002 |