Chapter 1 A Metaheuristic for Optimizing the Performance and the Fairness in Job Scheduling Systems

Chapter 2 Hybrid ACO and Tabu Search for Large Scale Information Retrieval

Chapter 3 Hosting Clients in Clustered and Virtualized Environment: A Combinatorial Optimization Approach

Chapter 4 On the Application of Artificial Intelligence Techniques to Create Network Intelligence

Chapter 5 A Statistical Framework for Mental Targets Search Using Mixture Models

Chapter 6 Variational Learning of Finite Inverted Dirichlet Mixture Models and Applications

Chapter 7 A Fully Bayesian Framework for Positive Data Clustering

Chapter 8 Applying Information Extraction for Abstracting and Automating CLI-Based Configuration of Network Devices in Heterogeneous Environments