Over the course of the past twenty years I have learned many things relevant to this book while working in high-energy physics. As everyone in this field in the yearly to mid-90s, I was analyzing experimental data collected by particle colliders using the FORTRAN programming language. Then, gradually, I moved to C++ coding following...

We are deluged by data—scientific data, medical data, demographic data, financial data, and marketing data. People have no time to look at this data. Human attention has become a precious resource. So, we must find ways to automatically analyze the data, to automatically classify it, to automatically summarize it, to...

Some TIME ago a group of mathematicians and computer scientists (including the editors of this volume) thought of making a scientific pilgrimage to the birthplace of al-Khw&rizmf, the outstanding ninth-century mathematician who gave his name to the word "algorithm". As his name indicates, al-Khwarizmi came from the Khorezm...

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...

ICALP 2011, the 38th edition of the International Colloquium on Automata, Languages and Programming, was held in Z¨urich, Switzerland, during July 4–8, 2011. ICALP is a series of annual conferences of the European Association for Theoretical Computer Science (EATCS) which first took place in 1972. This year, the ICALP...

Fuzzy systems and neural networks have attracted the growing interest of researchers, scientists, engineers, practitioners, and students in various scientific and engineering areas. Fuzzy sets and fuzzy logic are based on the way the brain deals with inexact information, while neural networks (or artificial neural networks) are modeled...

Anticipatory optimization for dynamic decision making relies on a number of different scientific disciplines. On a general level, the foundations of the field may be localized at the intersection of operations research, computer science and decision theory. Closer inspection reveals the important role of branches such as simulation,...

The 14th International Conference on Human–Computer Interaction, HCI International 2011, was held in Orlando, Florida, USA, July 9–14, 2011, jointly with the Symposium on Human Interface (Japan) 2011, the 9th International Conference on Engineering Psychology and Cognitive Ergonomics, the 6th International Conference on...

#^ecause you are reading this, 1 assume that you have recently become interested in database. Perhaps you would like to impress your friends by casually tossing out some big words that they have never heard before — words such as semantic object model, denormalization, or maybe even tuple. Perhaps your boss at work has just informed you...

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...

What do people learn when they do not know that they are learning? Until recently all of the work in the area of implicit learning focused on empirical questions and methods. In this book, Axel Cleeremans explores unintentional learning from an information-processing perspective. He introduces a theoretical framework that unifies existing...