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Vision Based Systemsfor UAV Applications (Studies in Computational Intelligence)
Vision Based Systemsfor UAV Applications (Studies in Computational Intelligence)

This monograph is motivated by a significant number of vision based algorithms for Unmanned Aerial Vehicles (UAV) that were developed during research and development projects. Vision information is utilized in various applications like visual surveillance, aim systems, recognition systems, collision-avoidance systems and navigation. This book...

R Machine Learning By Example
R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

About This Book

  • Get to grips with the concepts of machine learning through exciting real-world examples
  • Visualize and solve complex problems...
Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing
Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing

Artificial intelligence (AI) has been in existence almost as long as computers. However, only recently have AI techniques been widely incorporated by companies to enhance

traditional business applications.

Building Intelligent .NET Applications is...

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007
This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set...
Advances in Data Mining - Theoretical Aspects and Applications: 7th Industrial Conference, ICDM 2007
Advances in Data Mining - Theoretical Aspects and Applications: 7th Industrial Conference, ICDM 2007

The papers in this volume represent the proceedings of the 7th Industrial Conference on Data Mining. They are organized into topical sections on aspects of classification and prediction, clustering, web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Readers...

Reliable Knowledge Discovery
Reliable Knowledge Discovery
With the rapid development of the data mining and knowledge discovery, a key issue which could significantly affect the real world applications of data mining is the reliability issues of knowledge discovery. It is natural that people will ask if the discovered knowledge is reliable. Why do we trust the discovered knowledge? How...
MDX Solutions: With Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
MDX Solutions: With Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
An updated version of the leading tutorial and reference on the MDX query language

Now in its second edition, this invaluable reference explains why MDX (MulitDimensional eXpressions) is the most widely accepted software used for dimensional application. You'll learn how to build effective multidimensional data...

Practical Text Mining with Perl (Wiley Series on Methods and Applications in Data Mining)
Practical Text Mining with Perl (Wiley Series on Methods and Applications in Data Mining)
Provides readers with the methods, algorithms, and means to perform text mining tasks

This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.perl.org). It covers mining ideas from several perspectives—statistics, data mining,...

Applications of Data Mining in E-Business and Finance (Frontiers in Artificial Intelligence and Applications)
Applications of Data Mining in E-Business and Finance (Frontiers in Artificial Intelligence and Applications)
The application of Data Mining (DM) technologies has shown an explosive growth in an increasing number of different areas of business, government and science. Two of the most important business areas are finance, in particular in banks and insurance companies, and e-business, such as web portals, e-commerce and ad management services.In...
Agent-Based Hybrid Intelligent Systems
Agent-Based Hybrid Intelligent Systems
Many complex problems, such as financial investment planning, involve many different components or sub-tasks, each of which requires different types of processing. To solve such complex problems, a great diversity of intelligent techniques, including traditional hard computing techniques (e.g., expert systems) and soft computing techniques (e.g.,...
The Top Ten Algorithms in Data Mining
The Top Ten Algorithms in Data Mining

Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a...

Intelligent Complex Adaptive Systems
Intelligent Complex Adaptive Systems
I don’t believe in the existence of a complex systems theory as such and, so far, I’m still referring to complex systems science (CSS) in order to describe my research endeavours. In my view, the latter is constituted, up until now, by a bundle of loosely connected methods and theories aiming to observe— from...
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