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Cotofrei, Paul
RĆ©sultat de la recherche
Personalized view of Swiss Public Health Statistical Data
2018, De Santo, Alessio, Cotofrei, Paul, Stoffel, Kilian
Fuzzy Extended BPMN for Modelling Crime Analysis Processes
2011-5, Cotofrei, Paul, Stoffel, Kilian
In the frame of an overall project concerning the development of an intelligent process-driven framework for crime analysis, the modelling phase of crime analysis processes requires formal approaches being able to capture both the vague nature of forensic data and the uncertainties and conjectures characterizing the inference structures of this domain. In this context, a first analysis on the feasibility of a fuzzy embedded BPMN using the extensibility mechanism introduced by BPMN 2.0 specification is considered.
Time Granularity in Temporal Data Mining
2009, Cotofrei, Paul
In this chapter, a formalism for a specific temporal data mining task (the discovery of rules, inferred from databases of events having a temporal dimension), is defined. The proposed theoretical framework, based on first-order temporal logic, allows the definition of the main notions (event, temporal rule, confidence) in a formal way. This formalism is then extended to include the notion of temporal granularity and a detailed study is made to investigate the formal relationships between the support measures of the same event in linear time structures with different granularities. Finally, based on the concept of consistency, a strong result concerning the independence of the confidence measure for a temporal rule, over the worlds with different granularities, is proved.
Stochastic Processes and Temporal Rules
2006-5, Cotofrei, Paul, Stoffel, Kilian
A Parallel Approach for Decision Trees Learning from Big Data Streams
2015-6-24, Calistru, Tudor, Cotofrei, Paul, Stoffel, Kilian
Temporal Rules over Time Structures with Different Granularities - a Stochastic Approach
2011, Cotofrei, Paul, Stoffel, Kilian
Business process modelling for academic virtual organizations
2008, Cotofrei, Paul, Stoffel, Kilian
The increasing mobility due to Bologna process forces the academic partners to increase the inter-operability of their administrative processes, by interacting through a collaborative networks and therefore acting as an academic virtual organization. To facilitate the communication and the comprehension of the administrative processes between the components of the CN, the Business Process Modelling Notation (BPMN) is proposed in this paper as a standard graphical model for administrative processes and transactions. The adaptability of this standard for academic processes and the difficulties of "translating" the actual administrative models (legal texts) in BPMN diagrams are analysed.
A Clustering Topology forWireless Sensor Networks: New Semantics over Network Topology
2013-7-29, Calistru, Tudor, Cotofrei, Paul, Stoffel, Kilian
Optimal Scene Interpretation: Semantic Management of 3-D Object from a Point Cloud Scene
2009-5, Cotofrei, Paul, Kuenzi, Christophe, Stoffel, Kilian
This paper presents the main concepts of a project under development concerning the analysis process of a scene containing a large number of objects, represented as unstructured point clouds. To achieve what we called the āoptimal scene interpretationā (the shortest scene description satisfying the MDL principle) we follow an approach for managing 3-D objects based on a semantic framework based on ontologies for adding and sharing conceptual knowledge about spatial objects.
Stochastic Processes and Temporal Data Mining
2007-8, Cotofrei, Paul, Stoffel, Kilian
This article tries to give an answer to a fundamental question in temporal data mining: āUnder what conditions a temporal rule extracted from up-to-date temporal data keeps its confidence/support for future dataā. A possible solution is given by using, on the one hand, a temporal logic formalism which allows the definition of the main notions (event, temporal rule, support, confidence) in a formal way and, on the other hand, the stochastic limit theory. Under this probabilistic temporal framework, the equivalence between the existence of the support of a temporal rule and the law of large numbers is systematically analysed.