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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| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English English English |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | 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/ |
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