Conference: XIIth Applied Stochastic Models and Data Analysis International Conference (ASMDA 2007)
Organized by: C. H. Skiadas, Technical University of Crete, Chania, Greece N. Limnios, Université de Technologie de Compiègne, France G. Saporta, CNAM, Paris, France
Field: Statistics, Data Analysis
Place: Chania, Crete
Country: Greece
From: 29.05.2007
To: 01.06.2007
Language(s): English
Description: Since 1981, the aim of ASMDA has been to serve as an interface between Stochastic Modeling and Data Analysis and their real life applications such as business, finance and insurance, management, production and reliability, biology and medicine. The 2007 Symposium will take place in Chania, Crete, Greece. Both theoretical and practical contributions presenting new results and having the potential for solving real-life problems are concerned. More specifically, one main goal of the symposium is to promote new methods for analysing data, in fields like stochastic modeling, optimization techniques, statistical methods and inference, data mining and knowledge systems, computing-aided decision supports and neural networks. Acting as an interface between theory and practice, ASMDA is of great interest for both the academic and the business world. The high standard of ASMDA meetings is guaranteed by international scientific committees and by a permanent worldwide ASMDA Committee. The symposium will include keynote presentations, invited sessions and regular papers and a poster session. Some papers will be selected for publication in international journals after an extended version has been reviewed. MAIN TOPICS 1) Methodological approaches - Poisson models, Markov models and extensions (semi-Markov, hidden-Markov, non homogeneous Markov,...), Point processes (Poisson, ...), Martingales, stochastic calculus, Diffusion and Poisson approximations, Stochastic control and decision, Asymptotic models and weak convergences, Statistical inference for stochastic processes, Fitting models for data, Reliability and survival analysis, Bayesian inference, Functional data analysis, Discriminant and regression analysis, Mixture model and probabilistic approach to clustering, Theories of uncertainty, Graphical models and Bayesian networks, Multidimensional scaling and multi-way data analysis, Sensory analysis, Classification, Analysis of complex data: incomplete, censored, missing, spatio-temporal, imprecise, fuzzy, etc., Data and text mining. 2) Special techniques and algorithms - Neural Networks, Genetic and fuzzy algorithms, Support vector machine, Monte Carlo Methods. 3) Application fields - Engineering, Production, inventory and logistics, Reliability and maintenance, Planning and control, Quality control, Finance and insurance, Management and administration (erp, crm, compliance, and sourcing), Marketing, Environment, Human resources, Biotechnology, bioinformatics, genome and medicine, Signal processing and telecommunication.
Additional information: DATES Paper and invited session submission deadline Dec. 15, 2006 Notification to authors Feb. 15, 2007 Camera-ready paper and registration March. 15, 2007 ASMDA 2007 Conference May 29,30,31 and June 1, 2007
Abstract: 15.12.2006
Contribution: 15.03.2007
Registration: 15.03.2007
URL 1: asmda 2007
E-mail 1:
E-mail 2:

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