The goal of this book is to provide an overview of the current state of knowledge of educational data mining (EDM). The primary goal of EDM is to use large-scale educational data sets to better understand learning and to provide information about the learning process. Although researchers have been studying human learning for over a...

From its inception in the 1930s, the rich and vigorous field of computer science has been concerned with the resources, both in time and in memory, needed to carry out a computation. A number of fundamental theorems were discovered that resorted to a worst-case analysis. The central question was whether a given algorithm could be...

Fifteen years ago, Michael and I wrote the first version of this book. A little more than 400 pages, the book fulfilled our goal of surveying the field of data mining by bridging the gap between the technical and the practical, by helping business people understand the data mining techniques and by helping technical people understand the...

Environmental remote sensing is the measurement, from a distance, of the spectral features of the Earth’s surface and atmosphere. These measurements are normally made by instruments carried by satellites or aircraft, and are used to infer the nature and characteristics of the land or sea surface, or of the atmosphere, at the...

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...

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,...

Our interest in human–computer interaction started with our participation in the TT2 project (“Trans–Type-2”, 2002–2005—http://www.tt2.atosorigin.es), funded by the European Union (EU) and coordinated by Atos Origin, which dealt with the development of statistical-based technologies for computer...

A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or...

Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior knowledge of neural networks. These networks are explained and discussed by means of examples, so that...

This book is based in part on my earlier work. Pattern Recognition: Applications to Large Data-Set Problems, published by Marcel Dekker_: Inc. in 1984. It was originally intended that this volume be a second editon of that work. However, due to the tremendous amount of material added it seemed that a new title. Pattern Recognition...

This work deals with a well-defined class of probabilistic models. The focus is on polymers. More precisely I should say that the focus is on the equilibrium statistical mechanics of a class of polymers: dynamical and non-equilibrium phenomena are not treated, reflecting the fact that these directions are at the moment...

Understanding Digital Signal Processing, Third Edition, is quite simply the best resource for engineers and other technical professionals who want to master and apply today’s latest DSP...