1. Real life problems and theoretical results in Stochastic Modelling and Data Analysis. 2. Interactions between Applied Stochastic Models, Data Analysis and Artificial Intelligence (including neural networks). 3. Probabilistic and Statistical Computation and Forecasting. 4. Data base management and knowledge acquisition, expert systems, computer-aided decision support systems and neural computing. The main objective in publishlishing this collection of papers is both technical and practical, presenting new results which have potential for solving real-life problems. serveings an interface between Stochastic Modeling and Data Analysis and their applications in various fields.