@conference { ISI:000371495900010,
	title = {Measure of Fuzzy Presence of Descriptors on Arabic Text Mining},
	booktitle = {2012 COLLOQUIUM ON INFORMATION SCIENCE AND TECHNOLOGY (CIST{\textquoteright}12)},
	series = {Colloquium in Information Science and Technology},
	year = {2011},
	note = {IEEE Colloquium on Information Science and Technology (CIST), Fez, MOROCCO, OCT 22-24, 2012},
	pages = {58-63},
	publisher = {IEEE; IEEE Morocco Sect; IEEE Morocco Comp \& Commun Joint Chapter; USMBA IEEE Student Branch; Faculty of Sciences Dhar Mahraz; Faculty of Technical Sciences of Fez; IEEE Comp Soc; IEEE Commun Soc},
	organization = {IEEE; IEEE Morocco Sect; IEEE Morocco Comp \& Commun Joint Chapter; USMBA IEEE Student Branch; Faculty of Sciences Dhar Mahraz; Faculty of Technical Sciences of Fez; IEEE Comp Soc; IEEE Commun Soc},
	abstract = {In the present work, we propose a new model of radical descriptors in Arabic Text Mining. This model will be based on the addition of lexical information contained in the morphological pattern of the Arabic word. We developed a statistical model by Hidden Markov Chain to disambiguate the morphological analysis of corpora, and we propose a new method to measure the relationship between descriptors based on a notion of {\textquoteleft}{\textquoteleft}fuzzy measure of the presence{{\textquoteright}{\textquoteright}} and we adapt the traditional statistical measures to this context, and we outline the key measures of similarity and distances used in Text Mining.},
	isbn = {978-1-4673-2725-1},
	issn = {2327-185X},
	author = {El Hassani, Ibtissam and Kriouile, Abdelaziz and Benghabrit, Youssef},
	editor = {ElMohajir, M and Begdouri, A and ElMohajir, BE and Zarghili, A}
}
