Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Yaghlane, Boutheina"'
Publikováno v:
20th International Conference on Information Fusion, Jul 2017, Xi'an, China. 2017
Nowadays, there are many approaches designed for the task of detecting communities in social networks. Among them, some methods only consider the topological graph structure, while others take use of both the graph structure and the node attributes.
Externí odkaz:
http://arxiv.org/abs/1707.08418
Social messages classification is a research domain that has attracted the attention of many researchers in these last years. Indeed, the social message is different from ordinary text because it has some special characteristics like its shortness. T
Externí odkaz:
http://arxiv.org/abs/1701.07756
Publikováno v:
In Data & Knowledge Engineering November 2021 136
Publikováno v:
FLINS, Aug 2016, Roubaix, France. pp.168 - 174, 2016
In this paper, we propose a new data based model for influence maximization in online social networks. We use the theory of belief functions to overcome the data imperfection problem. Besides, the proposed model searches to detect influencer users th
Externí odkaz:
http://arxiv.org/abs/1610.06340
The theory of belief functions manages uncertainty and also proposes a set of combination rules to aggregate opinions of several sources. Some combination rules mix evidential information where sources are independent; other rules are suited to combi
Externí odkaz:
http://arxiv.org/abs/1503.05055
Publikováno v:
International Conference on Artificial Intelligence and Symbolic Computation (AISC 2014), Dec 2014, Sevilla, Spain. pp.147 - 156
Belief function theory provides a flexible way to combine information provided by different sources. This combination is usually followed by a decision making which can be handled by a range of decision rules. Some rules help to choose the most likel
Externí odkaz:
http://arxiv.org/abs/1501.07008
Defining and modeling the relation of inclusion between continuous belief function may be considered as an important operation in order to study their behaviors. Within this paper we will propose and present two forms of inclusion: The strict and the
Externí odkaz:
http://arxiv.org/abs/1501.06705
Publikováno v:
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Jul 2014, Montpellier, France. pp.46 - 55
Considering the high heterogeneity of the ontologies pub-lished on the web, ontology matching is a crucial issue whose aim is to establish links between an entity of a source ontology and one or several entities from a target ontology. Perfectible si
Externí odkaz:
http://arxiv.org/abs/1501.05724
Publikováno v:
International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Apr 2013, Hammamet, Tunisia. pp.1 - 6
Speech Recognition searches to predict the spoken words automatically. These systems are known to be very expensive because of using several pre-recorded hours of speech. Hence, building a model that minimizes the cost of the recognizer will be very
Externí odkaz:
http://arxiv.org/abs/1501.05530
Publikováno v:
International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Jul 2014, Montpellier, France. pp.66 - 75
Nowadays, social networks such as Twitter, Facebook and LinkedIn become increasingly popular. In fact, they introduced new habits, new ways of communication and they collect every day several information that have different sources. Most existing res
Externí odkaz:
http://arxiv.org/abs/1501.05426