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Computer-Assisted Reading: Getting Help from Text Classification and Maximal Association Rules

Ismaïl Biskri, Abdelghani Achouri, Louis Rompré, Steve Descoteaux, and Boucif Amar Bensaber
Université du Québec à Trois-Rivières / Laboratoire de Mathématiques et Informatique Appliquées, Canada
Abstract—The combination of text classification and maximal association rules will allow the extraction of hidden knowledge, often relevant from the text and allow the detection of dependencies and correlations between the relevant units of information (words) of different classes. In fact, the results of text classification take the form of large and noisy classes of similarities.

Index Terms—Classification, Maximal association rules, Computer assisted reading

Cite: Ismaïl Biskri, Abdelghani Achouri, Louis Rompré, Steve Descoteaux and Boucif Amar Bensaber, "Computer-Assisted Reading: Getting Help from Text Classification and Maximal Association Rules," Journal of Advances in Information Technology, Vol. 4, No. 4, pp. 157-165, November, 2013.doi:10.4304/jait.4.4.157-165
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