This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes...

This text for students and professionals in computer science provides a valuable overview of current knowledge concerning parallel algorithms. These computer operations have recently acquired increased importance due to their ability to enhance the power of computers by permitting multiple processors to work on different parts of a problem...

Intelligent agent technology is a tool of modern computer science that can be used to engineer complex computer programmes that behave rationally in dynamic and changing environments. Applications range from small programmes that intelligently search the Web buying and selling...

This book is about constraint programming, an alternative approach to programming which relies on a combination of techniques that deal with reasoning and computing. It has been successfully applied in a number of fields including molecular biology, electrical engineering, operations research and numerical analysis. The central notion is that...

The Semantic Web is the realization of an aspect of the Web that was part of the original hopes and dreams of 1989, but whose development has, until now, taken a back seat to the Web of multimedia human-readable material. Even though at the first WWW conference, in 1994, I ended my talk with a few slides about the Semantic Web, the steps...

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...

Multiagent systems are systems composed of multiple interacting computing elements, known as agents. Agents are computer systems with two important capabilities. First, they are at least to some extent capable of autonomous action - of deciding for themselves what they need to do in order to satisfy their design objectives. Second, they are...

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining...

Perhaps the largest impact that Bayesian networks have had is on the field of AI, where they were...

In the present thriving global economy a need has evolved for complex data analysis to enhance an organization’s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and...

Recent studies have shown that novel processing and modeling techniques may be used to create patient-specific prostheses, artificial tissues, and other implants using data obtained from magnetic resonance imaging, computed tomography, or other imaging techniques. For example, customized prostheses may be fabricated that possess suitable...