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""This book brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems"--Provided by publisher."

"This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area."

"In this book, the fundamental concepts of MSNets are introduced including the background, key features and potential applications of MSNets, while also presenting research topics, such as, MSNets as realistic social contact traces and user mobility models. Because the ultimate goal is to establish networks that allow mobile users to quickly and efficiently access interesting information, particular attention is paid to data dissemination and query schemes in subsequent sections. Combined with geography information, the concepts of community and centrality are employed from a social network perspective to propose several data dissemination and query schemes, and further use real social contact traces to evaluate their performance, demonstrating that such schemes achieve better performance when exploiting more social relationships between users."

"Data storage for social networks : a socially aware approach is aimed at reviewing the current literature of data storage for online social networks and discussing new methods that take into account social awareness in designing efficient data storage"

"Networks, systems, and data join the financial markets into a single interrelated environment that processes millions of transactions in real time. This volume, the third of four, investigates the interconnected nature of financial markets by examining networks, systems, and data in turn. Describing what technologies do instead of how they work, the book shows how they drive each step of the trading process. We learn why the speed and scope of financial automation are growing, and we observe the increasing importance of data in the regulatory process. Contributing to these explanations are visual cues that guide readers through the material. If knowledge comes from information, then this volume reveals much about the core of the finance industry. Explains how technologies and data make the financial markets one of the most automated industries. Describes how each step in the trading process employs technology and generates information. Presents major concepts with graphs and easily understood definitions."