To coincide with some of the biggest changes in Photoshop Elements for years, Philip Andrews completely revises his bestselling title to include all the new features of this release. See how the new interface works alongside new tools, techniques and workflows to make editing, enhancing and sharing your pictures easier than ever. And as...

One of the consequences of the information revolution is the ever-growing amount of
information we are surrounded with and the need to process this information
efficiently and extract meaningful knowledge. This phenomenon was termed “digital
obesity” or “information obesity” by Toshiba Ltd. One...

Embedded and ubiquitous computing are emerging rapidly as exciting new paradigms and disciplines to provide computing and communication services...

The FPL'94 workshop was organized by the Czech Technical University and the University of Kaiserslautern, in co-operation with IEEE...

The rapid growth of the Web in the past two decades has made it the largest publicly accessible data source in the world. Web mining aims to discover useful information or knowledge from Web hyperlinks, page contents, and usage logs. Based on the primary kinds of data used in the mining process, Web mining tasks can be categorized...

Large volumes of data and complex problems inspire research in computing and data, text, and web mining. However, analyzing data is not sufficient, as it has to be presented visually with analytical capabilities, i.e., a chart/diagram/image illustration that enables humans to perceive, relate, and conclude in the knowledge discovery...

On behalf of the Program Committee, it is our pleasure to present to you the proceedings of the 8th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA 2011). Each year DIMVA brings together international experts from academia, industry and government to present and discuss novel security research....

The development of network technologies and networked services has been tremendous the last decade and is expected to be more intensive in the near future with the technological progress in the field of radio communications, data communication, protocols, software engineering, applications and so on. In this plethora of technologies,...

The typical computational approach to object understanding derives shape information from the 2D outline of the objects. For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration. Computer Vision: From Surfaces...

I use the term logical and relational learning to refer to the subfield of artificial intelligence, machine learning and data mining that is concerned with learning in expressive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all...

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....

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...