@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}
}
@conference { ISI:000371495900003,
	title = {Model ISR3M for assessing maturity of IS risk management process Case study},
	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 = {16-21},
	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 = {We aim through this article to contribute to the development of information system (IS) governance and more specifically of IS risk management (RM). We then propose a maturity model for IS risk management and we implement it on a case study following all the steps in the model designed. Those steps are: defining the list of information systems of the organization, measuring the maturity for each of those IS taking into account the evolution in its life cycle, measuring the consolidated maturity of IS risk management process for the organization.},
	isbn = {978-1-4673-2725-1},
	issn = {2327-185X},
	author = {Elmaallam, Mina and Kriouile, Abdelaziz},
	editor = {ElMohajir, M and Begdouri, A and ElMohajir, BE and Zarghili, A}
}
@conference { ISI:000371495900004,
	title = {A process pattern for managing evolution of configurable reference process models},
	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 = {22-25},
	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 = {During the last years, reference process modeling becomes an efficient approach for reuse in business process modeling (BPM). Many BPM tools provide mechanisms to adapt reference process models in order to meet new needs. However, this adaptation results in a set of variants which have to be managed. One of the most proposed solutions is the configurable process model. Therefore, evolving this configurable process model in terms of activities, a data flows and resources changes becomes a crucial issue. In this paper, we propose a process pattern which guides designers for managing evolution of configurable reference process models.},
	isbn = {978-1-4673-2725-1},
	issn = {2327-185X},
	author = {Sbai, Hanae and Fredj, Mounia and Kjiri, Laila},
	editor = {ElMohajir, M and Begdouri, A and ElMohajir, BE and Zarghili, A}
}
@conference { ISI:000371495900008,
	title = {Some methods to address the problem of Unbalanced Sentiment Classification in an Arabic context},
	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 = {43-48},
	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 = {The rise of social media (such as online web forums and social networking sites) has attracted interests to mining and analyzing opinions available on the web. The online opinion has become the object of studies in many research areas; especially that called {\textquoteleft}{\textquoteleft}Opinion Mining and Sentiment Analysis{{\textquoteright}{\textquoteright}}. Several interesting and advanced works were performed on few languages (in particular English). However, there were very few studies on some languages such as Arabic. This paper presents the study we have carried out to address the problem of unbalanced data sets in supervised sentiment classification in an Arabic context. We propose three different methods to under-sample the majority class documents. Our goal is to compare the effectiveness of the proposed methods with the common random under-sampling. We also aim to evaluate the behavior of the classifier toward different under-sampling rates. We use two different common classifiers, namely Naive Bayes and Support Vector Machines. The experiments are carried out on an Arabic data set that we have built from Aljazeera{\textquoteright}s web site and labeled manually. The results show that Naive Bayes is sensitive to data set size, the more we reduce the data the more the results degrade. However, it is not sensitive to unbalanced data sets on the contrary of Support Vector Machines which is highly sensitive to unbalanced data sets. The results show also that we can rely on the proposed techniques and that they are typically competitive with random under-sampling.},
	isbn = {978-1-4673-2725-1},
	issn = {2327-185X},
	author = {Mountassir, Asmaa and Benbrahim, Houda and Berrada, Ilham},
	editor = {ElMohajir, M and Begdouri, A and ElMohajir, BE and Zarghili, A}
}
