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Frequent Itemsets as Descriptors of Textual Records.

, , and . ICCCI (2), volume 11684 of Lecture Notes in Computer Science, page 35-45. Springer, (2019)

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New Descriptors of Textual Records: Getting Help from Frequent Itemsets., , and . Vietnam. J. Comput. Sci., 7 (4): 355-372 (2020)A comparison study of clustering validity indices., , and . GSCIT, page 1-4. IEEE, (2015)An hybrid architecture for active and incremental learning: the self-organizing perceptron (SOP) network., , and . IJCNN, page 1646-1651. IEEE, (1999)Frequent Itemsets as Descriptors of Textual Records., , and . ICCCI (2), volume 11684 of Lecture Notes in Computer Science, page 35-45. Springer, (2019)NbClust: AnRPackage for Determining the Relevant Number of Clusters in a Data Set, , , and . Journal of Statistical Software, (2014)Comparative Study of Centrality Measures on Social Networks., and . ISCRAM-med, volume 301 of Lecture Notes in Business Information Processing, page 3-16. Springer, (2017)Cursive Character Detection using Incremental Learning., , and . ICDAR, page 808-811. IEEE Computer Society, (1999)Rôle de la classification statistique dans la compression du signal d'image : panorama et étude de cas., , and . Monde des Util. Anal. Données, (1994)Unsupervised Neural Network for Data-Driven Corrosion Detection of a Mining Pipeline., , and . FLAIRS, (2022)Causality in Probabilistic Fuzzy Logic and Alternative Causes as Fuzzy Duals., , , and . ICCCI (CCIS Volume), volume 1287 of Communications in Computer and Information Science, page 767-776. Springer, (2020)