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Contextual Exploration (EC3): a strategy for the detection, extraction and visualization of target data
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In: 4th International Conference on Big Data Analysis and Data Mining ; https://hal-cnam.archives-ouvertes.fr/hal-02555454 ; 4th International Conference on Big Data Analysis and Data Mining, Sep 2017, Paris, France. pp.67, ⟨10.4172/2324-9307-C1-014⟩ (2017)
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Exploration Contextuelle (EC3) : une stratégie de détection, d’extraction et de visualisation des données cibles
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In: Traitement de l’information multimodale (TIM) ; https://hal-cnam.archives-ouvertes.fr/hal-02555410 ; Traitement de l’information multimodale (TIM), DGA, Jul 2017, Paris, France (2017)
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Discursive mining viewpoints in building multi-document synthesized sheets
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In: Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference ; 27th International Florida Artificial Intelligence Research Society Conference ; https://hal.archives-ouvertes.fr/hal-01941159 ; 27th International Florida Artificial Intelligence Research Society Conference, May 2014, Pensacola Beach, California, United States ; https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14 (2014)
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Seeking for High Level Lexical Association in Texts
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In: The Fourth International Conference on Computer Science and Its Applications, CIIA 2013 ; https://hal.archives-ouvertes.fr/hal-01216524 ; The Fourth International Conference on Computer Science and Its Applications, CIIA 2013, May 2013, Saida, Algeria. pp.37-46, ⟨10.1007/978-3-319-00560-7_8⟩ (2013)
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Abstract:
International audience ; Searching information in a huge amount of data can be a difficult task. To support this task several strategies are used. Classification of data and labeling are two of these strategies. Used separately each of these strategies have certain limitations. Algorithms used to support the process of automated classification influence the result. In addition, many noisy classes can be generated. On the other hand, labeling of document can help recall but it can be time consuming to find metadata. This paper presents a method that exploits the notion of association rules and maximal association rules, in order to assist textual data processing, these two strategies are combined.
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Keyword:
[INFO]Computer Science [cs]
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URL: https://doi.org/10.1007/978-3-319-00560-7_8
https://hal.archives-ouvertes.fr/hal-01216524
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The Logic of Typical and Atypical Instances (LTA)
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In: Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS13 ; The Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS13 ; https://hal.archives-ouvertes.fr/hal-01216530 ; The Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS13, May 2013, Miami, United States. pp.321-326 (2013)
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Un système logique pour les relations sémantiques entre concepts
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In: Terminologie et Ontologie : Théories et Applications (TOTh 2007) ; https://hal.archives-ouvertes.fr/hal-01335139 ; Terminologie et Ontologie : Théories et Applications (TOTh 2007), Jun 2007, Annecy, France. pp.45-68 (2007)
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Propositions de primitives sémantiques pour la constitution de terminologies multi-lingues (français/arabe) /
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In: Revue des lettres et de traduction = مجلة الآداب والترجمة [ISSN] N° 4 (1998), pp. 57-81 (1998)
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