Search results for: Farid Nouioua

Items from 1 to 12 out of 12 results

article

A survey of episode mining

Oualid Ouarem, Farid Nouioua, Philippe Fournier‐Viger

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery > 14 > 2 > n/a - n/a

Episode mining is a research area in data mining, where the aim is to discover interesting episodes, that is, subsequences of events, in an event sequence. The most popular episode‐mining task is frequent episode mining (FEM), which consists of identifying episodes that appear frequently in an event sequence, but this task has also been extended in various ways. It was shown that episode mining can...

article

Global existence and blow-up of generalized self-similar solutions for a space-fractional diffusion equation with mixed conditions

Farid Nouioua, Bilal Basti

Annales Universitatis Paedagogicae Cracoviensis. Studia Mathematica > 2021 > 20 > 43-56

This paper investigates the problem of the existence and uniqueness of solutions under the generalized self-similar forms to the space-fractional diffusion equation. Therefore, through applying the properties of Schauder's and Banach's fixed point theorems; we establish several results on the global existence and blow-up of generalized self-similar solutions to this equation.

article

Uncertain lightweight ontologies in a product-based possibility theory framework

Khaoula Boutouhami, Salem Benferhat, Faiza Khellaf, Farid Nouioua

International Journal of Approximate Reasoning > 2017 > 88 > C > 237-258

This paper investigates an extension of lightweight ontologies, encoded here in DL-Lite languages, to the product-based possibility theory framework. We first introduce the language (and its associated semantics) used for representing uncertainty in lightweight ontologies. We show that, contrarily to a min-based possibilistic DL-Lite, query answering in a product-based possibility theory is a hard...

article

Predictability of fuzzy discrete event systems

Bilal Benmessahel, Mohamed Touahria, Farid Nouioua

Discrete Event Dynamic Systems > 2017 > 27 > 4 > 641-673

This paper studies the problem of predictability in fuzzy discrete event systems (FDESs). FDESs combine fuzzy set theory with discrete events systems (DESs). They are proposed in Lin and Ying (2001) to cope with vagueness, impreciseness, and subjectivity in real-world problems. In this work: (1) We propose a fuzzy approach for predictability by introducing fuzzy predictability functions to characterize...

article

An argumentation system for defeasible reasoning

Leila Amgoud, Farid Nouioua

International Journal of Approximate Reasoning > 2017 > 85 > C > 1-20

Rule-based argumentation systems are developed for reasoning about defeasible information. They take as input a theory made of a set of facts, a set of strict rules, which encode strict information, and a set of defeasible rules which describe general behavior with exceptional cases. They build arguments by chaining such rules, define attacks between them, use a semantics for evaluating the arguments,...

chapter

Argumentation Frameworks with Necessities

Farid Nouioua, Vincent Risch

Lecture Notes in Computer Science > Scalable Uncertainty Management > Argumentation Systems > 163-176

In this paper, we introduce argumentation frameworks with necessities (AFNs), an extension of Dung’s argumentation frameworks (AFs) taking into account a necessity relation as a kind of support relation between arguments (an argument is necessary for another). We redefine the acceptability semantics for these extended frameworks and we show how the necessity relation allows a direct and easy correspondence...

chapter

A Comparative Study of Six Formal Models of Causal Ascription

Salem Benferhat, Jean-François Bonnefon, Philippe Chassy, Rui Silva Neves, more

Lecture Notes in Computer Science > Scalable Uncertainty Management > 47-62

Ascribing causality amounts to determining what elements in a sequence of reported facts can be related in a causal way, on the basis of some knowledge about the course of the world. The paper offers a comparison of a large span of formal models (based on structural equations, non-monotonic consequence relations, trajectory preference relations, identification of violated norms, graphical representations,...

article

Quantum-inspired firefly algorithm with particle swarm optimization for discrete optimization problems

Djaafar Zouache, Farid Nouioua, Abdelouahab Moussaoui

Soft Computing > 2016 > 20 > 7 > 2781-2799

The firefly algorithm is a recent meta-heuristic inspired from nature. It is based on swarm intelligence of fireflies and generally used for solving continuous optimization problems. This paper proposes a new algorithm called “Quantum-inspired Firefly Algorithm with Particle Swarm Optimization (QIFAPSO)” that among other things, adapts the firefly approach to solve discrete optimization problems....

chapter

Removed Set-Based Revision of Abstract Argumentation Frameworks

Farid Nouioua, Eric Wurbel

2014 IEEE 26th International Conference on Tools with Artificial Intelligence > 784 - 791

2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI)

Argumentation frameworks have aroused intense interest from the AI community over the past years. Dynamic aspects of argumentation frameworks have received some interest from the community, but none of these works tries to address the recovering problem, that is, what shall we do when the new addition leads to the loss of all extensions. Such problem is typically a belief revision problem. In this...

chapter

Predictability analysis of distributed discrete event systems

Lina Ye, Philippe Dague, Farid Nouioua

52nd IEEE Conference on Decision and Control > 5009 - 5015

2013 IEEE 52nd Annual Conference on Decision and Control (CDC)

Predictability is an important system property that determines with certainty the future occurrence of a fault based on a model of the system and a sequence of observations. The existing works dealt with predictability analysis of discrete-event systems in the centralized way. To deal with this important problem in a more efficient way, in this paper, we first propose a new centralized polynomial...

chapter

Approaches to Modeling the Emotional Aspects of a Crowd

Lynda Saifi, Abdelhak Boubetra, Farid Nouioua

2013 8th EUROSIM Congress on Modelling and Simulation > 151 - 154

2013 8th EUROSIM Congress on Modelling and Simulation (EUROSIM)

This work aims to study and analyze the emotional aspects in behavioral and decisional situations within a particular population that takes often the shape of a crowd. In that direction, emotional crowd simulation appears to be a good prescriptive tool to study such aspects. This work tries to personify virtual people and make them as believable as possible, to properly represent the human and consequently...

article

From the textual description of an accident to its causes

Daniel Kayser, Farid Nouioua

Artificial Intelligence > 2009 > 173 > 12-13 > 1154-1193

Every human being, reading a short report concerning a road accident, gets an idea of its causes. The work reported here attempts to enable a computer to do the same, i.e. to determine the causes of an event from a textual description of it. It relies heavily on the notion of norm for two reasons:•The notion of cause has often been debated but remains poorly understood: we postulate that what people...

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