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The aim of this book is to gather the most recent works that address issues related to the concept of mining complex data. Actually, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g.
However, even if in most cases the used intelligent techniques are due to Artificial - telligence, sometimes, simple human intelligence can find interesting solutions in cases where traditional Computer Graphics techniques, even combined with Artificial Intelligence ones, cannot propose any satisfactory solution.
This book touches on a range of topics in semantics demonstrating that theory and methods are inherent in the development of tools and applications and inversely that the application is also inherent in the motivation and presentation of tools and methods.
This book develops multi-agent learning algorithms that achieve new objectives not previously attained. In particular the text examines learning in the presence of Markovian agent behavior, which has not been studied or modeled before in a MAL context.
Cognitive Informatics (CI) is the science of cognitive information processing and its applications in cognitive computing. CI is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain.
Complex-valued neural networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book on the multi-valued neuron (MVN) and MVN-based neural networks covers MVN theory, learning, and applications.
Power system reliability is the focus of intensive study due to its critical role in providing energy supply to modern society.
The aim of this book is to gather the most recent works that address issues related to the concept of mining complex data. Actually, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g.
In particular, approaches which have their origins in Artificial Intelligence and Operational Research have a significant contribution to make in terms of improving not only diagnosis and treatment of patients, but also providing ways of managing patients in a more effective, more efficient, and more patient-friendly manner.
This monograph presents the concept of agents and agent systems. In order to form the principles of construction of autonomous agents, a model of the agent is introduced. Descriptions of different examples of applications of agent systems in such fields as evolution systems, mobile robot systems, artificial intelligence systems are given.
How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this stimulating and useful book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory.
This book presents the main features of observational calculi. It introduces association rules as formula of special observational calculi.
More specifically, the book provides solutions for the digital economy, e-sourcing clusters in network economy, and knowledge exchange between agents applicable to online trading agents, and security solutions to both digital economy and e-commerce.
This volume, aimed at graduate students, computer experts and researchers in urban planning, presents the contributions to a workshop held in Geneva in 2006, that was convened to address emerging issues in the field of urban development.
Power system reliability is the focus of intensive study due to its critical role in providing energy supply to modern society.
This book introduces the novel data mining concept of action rules mining, and offering a comprehensive account of its contribution to the process of extracting interesting information or patterns from large databases.
This book features recent research on computational intelligence techniques for the automated design of analog and high-frequency circuits. It will help readers handle state-of-the-art algorithms and even design their own methods.
This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks.
This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.
Computational Intelligence for Decision Support in Cyber-Physical Systems
Big Data and Internet of Things: A Roadmap for Smart Environments
The book focuses on an image processing technique known as binarization. In addition to this, the book presents techniques for preparing a reference image which is very much important for quantitative evaluation of the binarization techniques.
The particular focus is on how to design artificial neural networks for engineering tasks.The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research.
Cognitive Informatics (CI) is the science of cognitive information processing and its applications in cognitive computing. CI is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain.
The book includes a number of chapters that can be conceptually divided into three topics: chapters describing different data analysis methodologies with their applications to cyberwarfare, chapters presenting a number of intrusion detection approaches, and chapters dedicated to analysis of possible cyber attacks and their impact.
Cybercrime, Digital Forensics and Jurisdiction
This monograph focuses on the use of analysis and processing methods for images from the Corvis (R) ST tonometer.
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