This volume contains a careful selection of papers that are based on and are extensions of corresponding lectures presented at the jubilee conference. The main subject area called Computational Intelligence includes diverse topics. Therefore, we offer snapshots rather than a full coverage of a small particular subject to the interested...

Debbabi and his coauthors investigate methodologies and techniques that can be employed for the automatic...

Knowing how to install, configure, and troubleshoot a computer network is a highly marketable and exciting skill. This book first introduces the fundamental building blocks that form a modern network, such as protocols, topologies, hardware, and network operating systems. It then provides in-depth coverage of the most important concepts in...

APLAS is a premiere forum...

The emergence of Web technologies for the distribution of an immense amount of data and knowledge has given rise to the need for supportive frameworks for knowledge management. Semantic Web technologies aim at providing shared semantic spaces for Web contents, such that people, applications and communities can use a common platform to share...

This book is a step by step guide packed with interesting examples and screenshots that cover lot of support options to help you achieve the superior quality documents. This books is divided into 11 chapters, each chapter dealing with a precise aspect of the software to help you have the best overview and make the best design choices for your...

In the last decade there has been an explosion of interest in the modeling and automation of business processes, and competence in this area is seen as increasingly critical to business competitiveness and stability. However, this has lead to a parallel explosion in solution approaches and technologies leading to a state-of-the-art that is...

Learning Classifier Systems (LCS) constitute a fascinating concept at the intersection of machine learning and evolutionary computation. LCS’s genetic search, generally in combination with reinforcement learning techniques, can be applied to both temporal and spatial problem-solving and promotes powerful search in a wide variety of...

Nowadays, computationalmethodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D...

Over two million Canadians have diabetes--with 10 percent living with type 1 diabetes, and the remaining type 2. With recipes reflecting Canada's diverse, multicultural population, this unique cookbook contains...

The life expectancy of patients with schizophrenia is approximately 20% shorter than that of the general population. Lifestyle choices, effects of medications, poor self-care, barriers to treatmentAall contribute to medical problems that increase the severity of psychopathology, reduce quality of life, and lead to premature death in patients...

The term ‘data...