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Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining

Extracting relevant resources according to a query is imperative due to the factors of time and accuracy. This study proposes a model that enables query matching using output lattices from Formal Concept Analysis (FCA) tool, based on Graph Theory. The deployment of FCA concept lattices ensures that...

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Main Authors: Hasni, Hassan, Mumtazimah, Mohamad, Md Yazid, Mohamad Saman
Format: Conference or Workshop Item
Language:English
English
English
Published: 2019
Subjects:
QA Mathematics
Online Access:http://eprints.unisza.edu.my/1991/1/FH03-FIK-19-35902.jpg
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spelling my-unisza-ir.19912020-11-29T00:49:06Z http://eprints.unisza.edu.my/1991/ Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining Hasni, Hassan Mumtazimah, Mohamad Md Yazid, Mohamad Saman QA Mathematics Extracting relevant resources according to a query is imperative due to the factors of time and accuracy. This study proposes a model that enables query matching using output lattices from Formal Concept Analysis (FCA) tool, based on Graph Theory. The deployment of FCA concept lattices ensures that the matching is done based on extracted concepts: not just mere keywords matching hence producing more relevant results. The focus of this study is on the method of Concept Based Lattice Mining (CBLM) where similarities among output lattices will be compared using their normalized adjacency matrices, utilizing a distance measure technique. The corresponding trace values obtained determines the degree of similarities among the lattices. An algorithm for CBLM is proposed and preliminary experimentation demonstrated promising results where lattices that are more similar have smaller trace values while higher trace values indicates greater dissimilarities among the lattices. 2019 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/1991/1/FH03-FIK-19-35902.jpg image en http://eprints.unisza.edu.my/1991/2/FH03-FIK-19-35903.jpg image en http://eprints.unisza.edu.my/1991/3/FH03-FIK-19-35904.jpg Hasni, Hassan and Mumtazimah, Mohamad and Md Yazid, Mohamad Saman (2019) Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining. In: Proceedings of the Second International Conference on Advanced Data and Information Engineering,, 25 April 2015, Bali, Indonesia.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
English
topic QA Mathematics
spellingShingle QA Mathematics
Hasni, Hassan
Mumtazimah, Mohamad
Md Yazid, Mohamad Saman
Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining
description Extracting relevant resources according to a query is imperative due to the factors of time and accuracy. This study proposes a model that enables query matching using output lattices from Formal Concept Analysis (FCA) tool, based on Graph Theory. The deployment of FCA concept lattices ensures that the matching is done based on extracted concepts: not just mere keywords matching hence producing more relevant results. The focus of this study is on the method of Concept Based Lattice Mining (CBLM) where similarities among output lattices will be compared using their normalized adjacency matrices, utilizing a distance measure technique. The corresponding trace values obtained determines the degree of similarities among the lattices. An algorithm for CBLM is proposed and preliminary experimentation demonstrated promising results where lattices that are more similar have smaller trace values while higher trace values indicates greater dissimilarities among the lattices.
format Conference or Workshop Item
author Hasni, Hassan
Mumtazimah, Mohamad
Md Yazid, Mohamad Saman
author_facet Hasni, Hassan
Mumtazimah, Mohamad
Md Yazid, Mohamad Saman
author_sort Hasni, Hassan
title Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining
title_short Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining
title_full Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining
title_fullStr Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining
title_full_unstemmed Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining
title_sort concept based lattice mining (clbm) using formal concept analysis (fca) for text mining
publishDate 2019
url http://eprints.unisza.edu.my/1991/1/FH03-FIK-19-35902.jpg
http://eprints.unisza.edu.my/1991/2/FH03-FIK-19-35903.jpg
http://eprints.unisza.edu.my/1991/3/FH03-FIK-19-35904.jpg
http://eprints.unisza.edu.my/1991/
_version_ 1685582804744667136
score 13.211869

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