Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveiling and handling uncertainty. Coverage of quality assessment begins with an introduction to cluster analysis and a comparison of the methods and approaches that may be used. The techniques and algorithms involved in other essential data mining tasks, such as classification and extraction of association rules, are also discussed together with a...
Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Da...
Economic Modeling Using Artificial Intelligence Methodsexamines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for...
Economic Modeling Using Artificial Intelligence Methodsexamines the application of artificial intelligence methods to model economic data. ...
A new economy is emerging. An economy that is transforming the fundamental rules of business. An economy based on exploiting knowledge and innovation. An economy where knowledge is the main source of wealth for regions, nations, enter- prises and people. This new economy is based on economic values far removed from those of the industrial economy. Value has shifted towards intangibles and in particular towards increasing value by incorporating knowledge into services and products. The advent of this new economy is rapidly changing the role and structure of global business. Winning enterprises...
A new economy is emerging. An economy that is transforming the fundamental rules of business. An economy based on exploiting knowledge and innovation....
How do we design a self-organizing system? Is it possible to validate and control non-deterministic dynamics? What is the right balance between the emergent patterns that bring robustness, adaptability and scalability, and the traditional need for verification and validation of the outcomes?
The last several decades have seen much progress from original ideas of "emergent functionality" and "design for emergence," to sophisticated mathematical formalisms of "guided self-organization." And yet the main challenge remains, attracting the best scientific and engineering expertise to this...
How do we design a self-organizing system? Is it possible to validate and control non-deterministic dynamics? What is the right balance between the...
This text details linguistic threshold schemes for information sharing. It examines the opportunities of using these techniques to create new models of managing strategic information shared within a commercial organisation or a state institution.
This text details linguistic threshold schemes for information sharing. It examines the opportunities of using these techniques to create new models o...
Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining.
"Optimization based Data Mining: Theory and...
Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SV...
The current rapid development in both computing power and the ability to present and mine complex data sets in useful ways provides the backdrop to Intelligence Management: Knowledge Driven Frameworks for Combating Terrorism and Organized Crime. The chapters address the linkage between: law enforcement; developments in information and communication technologies and key ideas about the management of data, information, knowledge and intelligence. The work is conducted by a number of international academic and industrial research groups, law enforcement agencies, and end users....
The current rapid development in both computing power and the ability to present and mine complex data sets in useful ways provides the backdrop to...
This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.
This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspect...
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the...
Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include pa...
Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: - Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. - Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy...
Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and en...
