The 21st-century world is a fundamentally interdependent place. Globalization has expanded, intensified, and accelerated social relations across world-time and world-space. The digital revolution has served as a catalyst for the creation of sprawling information and communication networks that enmesh individuals, states, and businesses alike....

Optimization is an integral part to science and engineering. Most real-world applications involve complex optimization processes, which are difficult to solve without advanced computational tools. With the increasing challenges of fulfilling optimization goals of current applications there is a strong drive to advance the development of...

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task....

Optimization is a subject that is widely and increasingly used in science, engineering, economics, management, industry, and other areas. It deals with selecting the best of many possible decisions in real-life environment, constructing computational methods to find optimal solutions, exploring the theoretical properties, and studying...

With the advent of computers, very large datasets have become routine. Standard statistical methods don’t have the power or flexibility to analyse these efficiently, and extract the required knowledge. An alternative approach is to summarize a large dataset in such a way that the resulting summary dataset is of a manageable size and yet...

Recent advances in digital communications and storage technologies have brought major changes for consumers. High-capacity hard disks and DVDs can store large amounts of audiovisual data. In addition, faster Internet connection speeds and the emerging high bitrate DSL connections provide sufficient bandwidth for entertainment...

Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make...

This volume contains the proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI-2011) which was held at the National Research University Higher School of Economics (HSE), Moscow, Russia, during June 27 - July 1, 2011. This was the fourth conference in the series. The first three...

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them.The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe...

Linear Programming deals with the problem of minimizing or maximizing a linear function in the presence of linear inequalities. Since the development of the simplex method by George B. Dantzig in 1947, linear programming has been extensively used in the military, industrial, governmental, and urban planning fields, among others. The...

The purpose of Essentials of Modern Business Statistics with Microsoft® Excel is to give students, primarily in the fields of business administration and economics, an introduction to the field of statistics and its many applications. The text is applications oriented and written with the needs of the nonmathematician in mind; the...