@conference { ISI:000381172301147,
	title = {An Example of a Big Data Solution Implementation},
	booktitle = {INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOLS I - VI},
	year = {2016},
	note = {27th International Business Information Management Association Conference, Milan, ITALY, MAY 04-05, 2016},
	pages = {3263-3265},
	abstract = {Over the last decade, digital data has known an incredible growth. Several businesses have taken advantage of this data abundance, and have moved their decision making strategy from hypothesis driven to data driven approaches. Therefore, new solutions are needed to store and access this big data, then infer knowledge out of it and make it available to managers. In this paper, we will discuss briefly the different issues that should be taken into consideration for implementing a Big Data framework in companies. Then a solution implementation for a Middle East gas and oil distribution company will be presented.},
	isbn = {978-0-9860419-6-9},
	author = {Benbrahim, Houda and Khalaf, Ilias and Kassou, Ismail},
	editor = {Soliman, KS}
}
@conference { ISI:000381172301152,
	title = {Improving Recommendations Using Context from Users{\textquoteright} Reviews},
	booktitle = {INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOLS I - VI},
	year = {2016},
	note = {27th International Business Information Management Association Conference, Milan, ITALY, MAY 04-05, 2016},
	pages = {3312-3315},
	abstract = {Recommender systems enable E-commerce websites to improve their sales by suggesting relevant items to customers. If considering the context of buying situations, more accurate recommendations can be computed. In this paper, we discuss the issue of using the contextual information contained in users{\textquoteright} reviews in order to improve recommendation.},
	isbn = {978-0-9860419-6-9},
	author = {Zahra Lahlou, Fatima and Benbrahim, Houda and Kassou, Ismail},
	editor = {Soliman, KS}
}
@conference { ISI:000381172301104,
	title = {Introduction to Competitive Intelligence: Process, Applications and Tools},
	booktitle = {INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOLS I - VI},
	year = {2016},
	note = {27th International Business Information Management Association Conference, Milan, ITALY, MAY 04-05, 2016},
	pages = {2876-2885},
	abstract = {In the world of excessive business competitiveness, almost every company tries to monitor its environment to exceed the competitors. Getting knowledge about competitors is the basic principal of what is called Competitive Intelligence (CI). Many applications of Competitive Intelligence can be used like Opinion Mining and Foresight studies and the process of obtaining such intelligence differs according to the company{\textquoteright}s needs. In this paper, we will present in more details the definitions of CI and a general process grouping the most used steps in conducting such study. In the end we will present some tools useful in CI.},
	isbn = {978-0-9860419-6-9},
	author = {Amarouche, Kamal and El Akrouchi, Manal and Benbrahim, Houda and Kassou, Ismail},
	editor = {Soliman, KS}
}
@conference { ISI:000389806000017,
	title = {Knowledge Management Performance Measurement: A Generic Framework},
	booktitle = {DATABASES AND INFORMATION SYSTEMS, DB\&IS 2016},
	series = {Communications in Computer and Information Science},
	volume = {615},
	year = {2016},
	note = {12th International Baltic Conference on Databases and Information Systems (DB and IS), Riga, LATVIA, JUL 04-06, 2016},
	pages = {242-254},
	publisher = {Univ Latvia, Fac Comp; Exigen Serv Latvia; IEEE; Springer},
	organization = {Univ Latvia, Fac Comp; Exigen Serv Latvia; IEEE; Springer},
	abstract = {This theoretical article aims to propose a generic framework for measuring performance of Knowledge Management (KM) projects based on critical literature review. The proposed framework fills the existing gap on KM performance measurement in two points: (i) it provides a generic tool that is able to assess all kinds of KM project as well as the overall organization KM, (ii) it assesses KM projects according to KM objectives in a generic manner. Our framework (GKMPM) relies on a process reference model that provides a KM common understanding in a process based view. It is based on a goal-oriented measurement approach and considers that KM performance dimensions are stakeholder{\textquoteright}s objectives. The framework application follows a procedural approach that begins with the KM project modelling, followed by the objectives prioritization. The next step consists of collecting and analysing data for pre-designed measures, and produces a set of key performance indicators (KPIs) related to the KM project processes and in accordance with its objectives.},
	isbn = {978-3-319-40180-5; 978-3-319-40179-9},
	issn = {1865-0929},
	doi = {10.1007/978-3-319-40180-5\_17},
	author = {Oufkir, Latifa and Fredj, Mounia and Kassou, Ismail},
	editor = {Arnicans, G and Arnicane, V and Borzovs, J and Niedrite, L}
}
@conference { ISI:000381172301090,
	title = {Towards A Reference Model for Knowledge Management Performance Measurement},
	booktitle = {INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOLS I - VI},
	year = {2016},
	note = {27th International Business Information Management Association Conference, Milan, ITALY, MAY 04-05, 2016},
	pages = {2744-2755},
	abstract = {Knowledge Management (KM) projects are socio-technical systems that enable knowledge activities and ensure that the right knowledge gets to the right person at the right time. The growing number of KM applications confirms the need for a performance measurement model able to assess the diversity of KM initiatives in order to rationalize their usage. To the best of our knowledge, a generic KM model for performance measurement fitting any kind of KM projects is missing in the literature. Instead, existing approaches are specific to a particular KM project or assess the overall KM of the organization. In this paper, we propose a KM model for performance measurement that is built on existing KM models literature and enhanced with theoretical findings. It also follows the reference modelling design process in view of producing a high quality model.},
	isbn = {978-0-9860419-6-9},
	author = {Oufkir, Latifa and Fredj, Mounia and Kassou, Ismail},
	editor = {Soliman, KS}
}
@conference { ISI:000360508700103,
	title = {Early Warning Signs Detection in Competitive Intelligence},
	booktitle = {INNOVATION VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOL I-VI},
	year = {2015},
	note = {25th International-Business-Information-Management-Association Conference, Amsterdam, NETHERLANDS, MAY 07-08, 2015},
	pages = {1014-1024},
	publisher = {Int Business Informat Management Assoc},
	organization = {Int Business Informat Management Assoc},
	abstract = {In a world of excessive competitiveness in the business environment, the competitive intelligence activities are widely used to monitor the competitors. Many techniques are used like opinion mining, event detection and foresight studies. Foresight allows studying the future and tries to predict and anticipate future actions. We can find diverse concepts and methodologies with numerous challenging research topics: trends, weak signals, wild cards... This paper will focus on weak signal detection in which we try to find the early warning signs in a performed quantitative and automatic way. It will present a literature review regarding the weak signals analysis terminology along with the processes to detect these signals, techniques, methods and approaches used.},
	isbn = {978-0-9860419-4-5},
	author = {El Akrouchi, Manal and Benbrahim, Houda and Kassou, Ismail},
	editor = {Soliman, KS}
}
@conference { ISI:000373736100045,
	title = {Product Opinion Mining for Competitive Intelligence},
	booktitle = {INTERNATIONAL CONFERENCE ON ADVANCED WIRELESS INFORMATION AND COMMUNICATION TECHNOLOGIES (AWICT 2015)},
	series = {Procedia Computer Science},
	volume = {73},
	year = {2015},
	note = {International Conference on Advanced Wireless Information and Communication Technologies (AWICT), Natl Sch Engineers Sousse, TUNISIA, OCT 05-07, 2015},
	pages = {358-365},
	abstract = {Competitive Intelligence is one of the keys of companies Risk Management. It provides the company with a permanent lighting to its competitive environment. The increasingly frequent use of Information and Communication Technologies (ICT); including (namely) online shopping sites, blogs, social network sites, forums, provides incentives for companies check their advantages over their competitors. This information presents a new source that helps and leads the company to identify, analyze and manage the various risks associated with its business/products. Nowadays, a good use of these data helps the company to improve its products/services. In this paper, an overview of opinion mining for competitive intelligence will be presented. We{\textquoteright}ll try to synthesize the major research done for the different steps of product opinion mining. (C) 2015 The Authors. Published by Elsevier B.V.},
	issn = {1877-0509},
	doi = {10.1016/j.procs.2015.12.004},
	author = {Amarouche, Kamal and Benbrahim, Houda and Kassou, Ismail},
	editor = {Boubiche, DE and Hidoussi, F and Cruz, HT}
}
@conference { ISI:000350287800023,
	title = {An approach using Intertextual Distance to detect Web Messages Authors},
	booktitle = {2013 3RD INTERNATIONAL SYMPOSIUM ISKO-MAGHREB},
	year = {2013},
	note = {ISKO-Maghreb 3rd International Symposium, Marrakech, MOROCCO, NOV 08-09, 2013},
	publisher = {ISKO},
	organization = {ISKO},
	abstract = {Our objective in this paper is to propose an approach capable of detecting authors of web messages based on specific vocabulary and Intertextual distance. Focus in the present work is on comparing the most popular distances using in the field of authorship detection namely Delta Rule, chi-square distance and Kullback-Leibler Divergence.},
	isbn = {978-1-4799-3392-1},
	author = {El Manar El Bouanani, Sara and Kassou, Ismail}
}
@conference { ISI:000341079600096,
	title = {Context Extraction from Reviews for Context Aware Recommendation Using Text Classification Techniques},
	booktitle = {2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA)},
	year = {2013},
	note = {IEEE and Arab-Computing-Society (ACS) International Conference on Computer Systems and Applications (AICCSA), Al Akhawayn Univ, Ifrane, MOROCCO, MAY 27-30, 2013},
	publisher = {IEEE; Arab Comp Soc},
	organization = {IEEE; Arab Comp Soc},
	abstract = {In this paper, we investigate the use of Text Classification techniques to extract contextual information from user reviews for Context Aware Recommendation. We conduct several experiments to identify the best Text Representation settings and the best classification algorithm for our dataset. We carry out our experiments on hotel reviews. We focus on extracting the trip type, as contextual information, from these reviews. Results show that the Naive Bayes classifier yields the best results with up to 72.2\% in terms of F1-measure. To extract context from user reviews with text classification techniques, we recommend to use raw text rather than employing stemming, to use the normalized frequency based weighting rather than the presence based one, to remove terms that occur once in the data set, and to combine unigrams, bigrams and trigrams.},
	isbn = {978-1-4799-0792-2},
	author = {Lahlou, Fatima Zahra and Benbrahimand, Houda and Mountassir, Asmaa and Kassou, Ismail}
}
@conference { ISI:000350287800019,
	title = {Dynamic Text Classifier based on Search Engine Features},
	booktitle = {2013 3RD INTERNATIONAL SYMPOSIUM ISKO-MAGHREB},
	year = {2013},
	note = {ISKO-Maghreb 3rd International Symposium, Marrakech, MOROCCO, NOV 08-09, 2013},
	publisher = {ISKO},
	organization = {ISKO},
	abstract = {Search engines and text categorization are two research areas almost inseparable. Where one is studied, the other is referred sooner or later. Automatic text categorization became more important with the enormous increase of the online information, and text classifiers are often there to help search engines classify indexed documents. The main idea presented in this paper consists of using a search engine as a text classifier. A search engine can take advantage of its scoring performances to categorize a new document without requiring building and using other categorization model. K Nearest Neighbors (KNN) principal based on search engine score as similarity measure was used. This approach is highly dependent on the scoring quality of the used search engine. It is a simple approach but can be competitive to other more complex categorization models. Also, this method is useful as a kind of categorization on the fly when indexing a new document. Through its evolving index, the search engine becomes a dynamic classifier of the fact that any document, recently joining the index, participate in the categorization of other new documents.},
	isbn = {978-1-4799-3392-1},
	author = {Machhour, Hamid and Kassou, Ismail}
}
@conference { ISI:000331269900013,
	title = {Improving text categorization A fully automated ontology based approach},
	booktitle = {2013 THIRD INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND INFORMATION TECHNOLOGY (ICCIT)},
	series = {International Conference on Communications and Information Technology},
	year = {2013},
	note = {3rd International Conference on Communications and Information Technology (ICCIT), Beirut, LEBANON, JUN 19-21, 2013},
	pages = {67-72},
	abstract = {This paper presents an improvement of text categorization models by document annotation with previously imported ontologies. A fully automated algorithm will be introduced to annotate plain text documents. Simple strategies combining annotation results with the categorization models are also presented and experienced. Conducted experiments present an improvement of tested categorization models when mixed with the annotation results.},
	isbn = {978-1-4673-5307-6; 978-1-4673-5306-9},
	issn = {2329-6372},
	author = {Machhour, Hamid and Kassou, Ismail}
}
@conference { ISI:000350287800033,
	title = {Linking Knowledge Management Valuation to Intellectual Capital: a conceptual study},
	booktitle = {2013 3RD INTERNATIONAL SYMPOSIUM ISKO-MAGHREB},
	year = {2013},
	note = {ISKO-Maghreb 3rd International Symposium, Marrakech, MOROCCO, NOV 08-09, 2013},
	publisher = {ISKO},
	organization = {ISKO},
	abstract = {Knowledge management (KM) and intellectual capital (IC) are two big research questions in nowadays management topics. In fact, the relation between these two subjects varies from analogy to complementarity. Defining these concepts remains for long years a controversy, because both topics imply different disciplines. And despite the multidisciplinary of the field, it is agreed that KM treats both knowledge as an object, and management as a set of tools and techniques. The association between these two aspects is the essence of KM. Whereas with the IC, the focus is much on the effect and value generated by the intellectual asset, which implies a notion of valuation and measurement. The relationship between concepts of IC and KM needs to be redefined in view of field progress. In our paper, we assume that {\textquoteleft}{\textquoteleft}IC is suited to KM valuation and performance measurement{{\textquoteright}{\textquoteright}}: a conceptual review of the literature within this work should give foundation to this hypothesis. Further foreseen analytical verification may empower it to be a basic rule on the design of future KM valuation indicators.},
	isbn = {978-1-4799-3392-1},
	author = {Oufkir, Latifa and Fredj, Mounia and Kassou, Ismail}
}
@conference { ISI:000326649800021,
	title = {A Text Classification Based Method for Context Extraction from Online Reviews},
	booktitle = {2013 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA)},
	year = {2013},
	note = {8th International Conference on Intelligent Systems - Theories and Applications (SITA), Ecole Mohammadia Ingenieurs, Rabat, MOROCCO, MAY 08-09, 2013},
	publisher = {IEEE; IEEE Morocco Sect; Univ Mohammed V Agdal},
	organization = {IEEE; IEEE Morocco Sect; Univ Mohammed V Agdal},
	abstract = {Recommender systems are systems that filter information depending on users{\textquoteright} profiles and suggest items that might match their preferences. While the majority of existing researches compute recommendation by considering only users and items, Context Aware Recommendation Systems (CARS) consider, in addition to users and items, others features related to the context. A first issue in CARS studies is to identify the contextual features. In this paper, we investigate the use of Text Classification techniques to extract contextual features from users{\textquoteright} reviews. We conduct experiments to identify the best classification algorithm for our dataset. We evaluate our approach on hotel reviews. We focus on extracting the trip type, as contextual information, from these reviews. Results show that the Multinomial Naive Bayes performs best in our dataset, with a F1 score of 60.1\%. Since contextual information are not always provided in the reviews, we think that our results are promising. We conclude that this research area needs deeper studies.},
	isbn = {978-1-4799-0299-6},
	author = {Zahra Lahlou, Fatima and Mountassir, Asmaa and Benbrahim, Houda and Kassou, Ismail}
}
@conference { ISI:000353639700241,
	title = {Using lexicometry and vocabulary analysis techniques to detect a signature for web profile},
	booktitle = {2013 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM)},
	year = {2013},
	note = {IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, CANADA, AUG 25-28, 2013},
	pages = {1494-1498},
	publisher = {IEEE; Assoc Comp Machinery; Assoc Comp Machinery SIGKDD; IEEE Comp Soc; IEEE TCDE; Global Univ; Hellen American Univ; Springer; Microsoft; EXtra; Springer Verlag; Assoc Comp Machinery SIGMOD},
	organization = {IEEE; Assoc Comp Machinery; Assoc Comp Machinery SIGKDD; IEEE Comp Soc; IEEE TCDE; Global Univ; Hellen American Univ; Springer; Microsoft; EXtra; Springer Verlag; Assoc Comp Machinery SIGMOD},
	abstract = {Our research theme is evolving around the concept of computer profiling. The aim of our work is to propose an approach that will detect web profiles in a unique way and to model a print web for each profile. Our main concern is to find this signature from text messages in the forums, by analyzing the vocabulary used by each user. Also we will focus here on presenting our approach and our future work in a way that will allow us to detect the {\textquoteleft}{\textquoteleft}Specific Vocabulary{{\textquoteright}{\textquoteright}} for each web profile.},
	isbn = {978-1-4503-2240-9},
	author = {El Bouanani, Sara El Manar and Kassou, Ismail},
	editor = {Ozyer, T and Carrington, P}
}
@conference { ISI:000262046500010,
	title = {A New Artificial Immune System for the Detection of Abnormal Behaviour},
	booktitle = {SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING},
	series = {Studies in Computational Intelligence},
	volume = {149},
	year = {2008},
	note = {9th International Conference on Software Engineering Artificial Intelligence, Networking and Parallel/Distributed Computing, Phuket, THAILAND, AUG 06-08, 2008},
	pages = {113-122},
	publisher = {Int Assoc Comp \& Informat Sci; IEEE; IEEE Comp Soc; UniNet; Thailand Convent \& Exhibit Bureau},
	organization = {Int Assoc Comp \& Informat Sci; IEEE; IEEE Comp Soc; UniNet; Thailand Convent \& Exhibit Bureau},
	abstract = {We propose in this paper a new Artificial Immune System (AIS) named NK system, for the detection of abnormal behaviour with an unsupervised approach. Its originality resides in the unsupervised detection based on the mechanism of NK cell (Natural Killer cell) contrary to the existing AIS that use supervised approaches based on the mechanisms of the T and B cells. The NK cells develop the capacity to recognize the molecules of self-MHC through a unique class of receptors that can inhibit or activate its natural mechanism of the antigens elimination. In this paper, the NK system is applied to the detection of fraud in mobile phone. The experimental results axe very satisfactory instead of the very weak proportion of the fraudulent operations in our sample.},
	isbn = {978-3-540-70559-8},
	issn = {1860-949X},
	doi = {10.1007/978-3-540-70560-4\_10},
	author = {Elmeziane, Rachid and Berrada, Ilham and Kassou, Ismail},
	editor = {Lee, R}
}
