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Displaying 1-12 out of 12 total
Improving the Behavior of Intelligent Tutoring Agents with Data Mining
Found in: IEEE Intelligent Systems
By Roger Nkambou, Philippe Fournier-Viger, Engelbert Mephu Nguifo
Issue Date:May 2009
pp. 46-53
This article presents a novel framework for adapting the behavior of intelligent agents. The framework consists of an extended sequential pattern mining algorithm that, in combination with association rule discovery techniques, is used to extract temporal ...
 
Enhancing Tutoring Intelligence Using Knowledge Discovery Techniques
Found in: Web Intelligence and Intelligent Agent Technology, International Conference on
By Engelbert Mephu Nguifo, Roger Nkambou
Issue Date:December 2006
pp. 7-10
In this paper, we present an approach to enhance tutoring knowledge using a promising approach of data and knowledge discovery based on pattern sequence recognition. We show how the approach is used to discover new meta knowledge and rules in a given domai...
 
Exemplar-Based Prototype Selection for a Multi-Strategy Learning System
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Patrick Njiwoua, Engelbert Mephu Nguifo
Issue Date:November 1999
pp. 37
Multi-strategy Learning (MSL) consists of combining at least two different learning strategies to bring out a powerful system, where the drawbacks of the basic algorithms are avoided. In this scope, instance-based learning (IBL) techniques are often used a...
 
Towards a Finer Assessment of Extraction Contexts Sparseness
Found in: Database and Expert Systems Applications, International Workshop on
By Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu Nguifo
Issue Date:September 2007
pp. 504-508
It is widely recognized that the performances of frequent closed itemset mining algorithms are closely dependent on the type of handled extraction contexts, i.e., sparse or dense. In this paper, we address an important question: how can we formally define ...
 
Partitioning Large Data to Scale up Lattice-Based Algorithm
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Huaiguo Fu, Engelbert Mephu Nguifo
Issue Date:November 2003
pp. 537
Concept lattice is an effective tool and platform for data analysis and knowledge discovery such as classi.cation or association rules mining. The lattice algorithm to build formal concepts and concept lattice plays an essential role in the application of ...
 
A Multiparadigm Intelligent Tutoring System for Robotic Arm Training
Found in: IEEE Transactions on Learning Technologies
By Philippe Fournier-Viger,Roger Nkambou,Engelbert Mephu Nguifo,Andre Mayers,Usef Faghihi
Issue Date:October 2013
pp. 364-377
To assist learners during problem-solving activities, an intelligent tutoring system (ITS) has to be equipped with domain knowledge that can support appropriate tutoring services. Providing domain knowledge is usually done by adopting one of the following ...
 
A new alignment method for OWL-Lite ontologies using propagation of similarity over the graph
Found in: Database and Expert Systems Applications, International Workshop on
By Sami Zghal, Engelbert Mephu Nguifo, Karim Kamoun, Sadok Ben Yahia, Yahya Slimani
Issue Date:September 2007
pp. 524-528
In this paper, we introduce a new approach for aligning OWL-Lite ontologies. The main originality of the alignment method stands in the fact that it palliates the main drawbacks appearing in the literature approaches, i.e., problem of user-parameter settin...
 
A scalable association rule visualization towards displaying large amounts of knowledge
Found in: Information Visualisation, International Conference on
By Olivier Couturier, Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu Nguifo
Issue Date:July 2007
pp. 657-663
Providing efficient and easy-to-use graphical tools to users is a promising challenge of data mining (DM). These tools must be able to generate explicit knowledge and to restitute it. Visualization techniques have shown to be an efficient solution to achie...
 
Emulating a Cooperative Behavior in a Generic Association Rule Visualization Tool
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Sadok Ben Yahia, Engelbert Mephu Nguifo
Issue Date:November 2004
pp. 148-155
Traditional framework for mining association rules has pointed out the derivation of many redundant rules. In order to be reliable in a decision making process, such discovered rules have to be both concise and easily understandable for users, and/or as an...
 
IGLUE : An Instance-based Learning System over Lattice Theory
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Patrick Njiwoua, Engelbert Mephu Nguifo
Issue Date:November 1997
pp. 0075
Concept learning is one of the most studied areas in machine learning. A lot of work in this domain deals with decision trees. In this paper, we are concerned with a different kind of technique based on Galois lattices or concept lattices. We present a new...
 
Comparing graph-based representations of protein for mining purposes
Found in: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics (StReBio '09)
By Engelbert Mephu Nguifo, Mondher Maddouri, Rabie Saidi
Issue Date:June 2009
pp. 35-38
Recently, the principles of graph theory are being adopted to address molecular and chemical structures investigations such as 3D protein structure prediction and spatial motifs discovery. Proteins have been parsed into graphs according to several approach...
     
Une approche anthropocentrée interactive pour l'aide à la décision en marketing bancaire
Found in: Proceedings of the 18th international conference on Association Francophone d'Interaction Homme-Machine (IHM '06)
By Engelbert Mephu Nguifo, Olivier Couturier
Issue Date:April 2006
pp. 253-256
This paper is focused on real banking marketing problem. It is based on association rules mining which is one main problem in knowledge discovery in databases (KDD). However, current methods is limited to extract some particular information and to restore ...
     
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