The Stochastic Modeling Techniques and Data Analysis International Conference (SMTDA) main objective is to welcome papers, both theoretical or practical, presenting new techniques and methodologies in the broad area of stochastic modeling and data analysis. An objective is to use the methods proposed for solving real life problems by analyzing the relevant data. Also, the use of recent advances in different fields will be promoted such as for example, new optimization and statistical methods, data warehouse, data mining and knowledge systems, computing-aided decision supports and neural computing. Particular attention will be given to interesting applications in engineering, productions and services (maintenance, reliability, planning and control, quality control, finance, insurance, management and administration, inventory and logistics, marketing, environment, human resources, biotechnology, medicine, ...).
Topics: Poisson, Markov, semi-Markov processes, Martingales, Stochastic calculus, Fitting models for data, Reliability and survival analysis, Functional data analysis, Discriminant and Regression Analysis, Mixture model and Probabilistic approach to Clustering, Analysis of complex data (incomplete, censored, missing, spatio-temporal, imprecise, fuzzy, ...), Data and Text Mining, Chaotic and Stochastic processes, Analysis of Chaotic processes, Neural Networks, Genetic and Fuzzy Algorithms, Support Vector Machine, Monte Carlo Methods, Chaotic Simulation.