| Autor: |
Bokhabrine, Ayoub, Biskri, Ismaïl, Ghazzali, Nadia |
| Předmět: |
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| Zdroj: |
Vietnam Journal of Computer Science (World Scientific); Dec2020, Vol. 7 Issue 4, p355-372, 18p |
| Abstrakt: |
The analysis of numerical data, whether structured, semi-structured, or raw, is of paramount importance in many sectors of economic, scientific, or simply social activity. The process of extraction of association rules is based on the lexical quality of the text and on the minimum support set by the user. In this paper, we implemented a platform named "IDETEX" capable of extracting itemsets from textual data and using it for the experimentation in different types of clustering methods, such as K -Medoids and Hierarchical clustering. The experiments conducted demonstrate the potential of the proposed approach for defining similarity between segments. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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