Bücher der Reihe Studies in Computational Intelligence

Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread.

Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. This book contains the latest research in the area of knowledge processing and decision making in agent-based systems.

Memetic algorithms are a success story in sophisticated evolutionary computing. Written for as wide a readership as possible, this book reflects the current state-of-the-art in the theory and practice of Memetic algorithms and is an invaluable reference.

Intelligent agents have revolutionised the way we do business, we teach, we learn, design systems, and so on. The book presents a sample of some of the most innovative research on the use of intelligent agents in the evolution of Web.

Intelligent paradigms play a tremendous role in the field of Assistive and Preventive Healthcare (APH). This book presents some of the latest research in the field of APH by most prestigious researchers. Coverage includes Multimedia medical informatics; Electronic Locomotion Aids, and Multimedia Communication Systems for the Blind;

Continuing where the last volume left off, this publication covers cutting-edge research into intelligent machines, including innovative applications such as document processing, language translation, and lightweight reprogramming for wireless sensor networks.

This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.

Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem.

This volume describes the application of pattern recognition and classification approaches. Methods include handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, and more.

This book highlights the influence of the agency perspective in Human-Computer Interaction through a careful selection of research contributions. It provides hands-on-experience by covering representative case studies and offering essential design guidelines.

During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community.

This book is a selection of results obtained within one year of research performed under SYNAT - a nation-wide scientific project aiming to create an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland.

This research volume focuses on analyzing the web user browsing behaviour and preferences in traditional web-based environments, social networks and web 2.0 applications, by using advanced techniques in data acquisition, data processing, pattern extraction and cognitive science for modeling the human actions.

This book outlines best practices when combining bioinspired algorithms with parallel architectures, describes recent work by leading researchers in the field and offers a map outlining the main paths already explored and new pathways toward the future.

This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing.

The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation.

The contributions include: personalized stress diagnosis system, image analysis system for breast cancer diagnosis, analysis of neuronal cell images, structure prediction of protein, relationship between two mental disorders, detection of cardiac abnormalities, holistic medicine based treatment and analysis of life-science data.

This research volume focuses on analyzing the web user browsing behaviour and preferences in traditional web-based environments, social networks and web 2.0 applications, by using advanced techniques in data acquisition, data processing, pattern extraction and cognitive science for modeling the human actions.

The book is organized into five parts, which are: Advanced Optimization Methods and Their Applications, Queuing Theory and Applications, Computational Methods for Knowledge Engineering, Knowledge Engineering with Cloud and Grid Computing, and Logic Based Methods for Decision Making and Data Mining, respectively.

Presenting the latest advances in computational intelligence, this book covers advanced design methodologies, algorithms and implementation techniques, including navigation, localization and mapping of mobile robots, and neuro-fuzzy based approaches.

The book consists of 35 extended chapters which have been based on selected submissions to the poster session organized during the 3rd Asian Conference on Intelligent Information and Database Systems (20-22 April 2011 in Daegu, Korea).

Based on both the Fifth International Symposium on Intelligent Distributed Computing, and the Third International Workshop on Multi-Agent Systems Technology and Semantics, this volume explores the theory and applications of intelligent distributed computing and multi-agent systems.

The book consists of 31 chapters in which the authors deal with multiple aspects of modeling, utilization and implementation of semantic methods for knowledge management and communication in the context of human centered computing.

Reflecting recent advances in the field of data mining and knowledge discovery achieved by Francophone scientists in France and elsewhere, this collection of extended and reworked papers were originally presented at the EGC 2009 conference in Strasbourg.

This book introduces Local Binary Patterns (LBP), arguably one of the most powerful texture descriptors, and LBP variants. This volume provides the latest reviews of the literature and a presentation of some of the best LBP variants by researchers at the forefront of textual analysis research and research on LBP descriptors and variants.

E-Learning Paradigms and Applications

Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem.

Continuing where the last volume left off, this publication covers cutting-edge research into intelligent machines, including innovative applications such as document processing, language translation, and lightweight reprogramming for wireless sensor networks.

This book is the first single volume that brings together the topics of serious games, alternative realities, and play therapy.