Rapid advances in communication, sensing and computational power have led to an explosion of data. The usefulness of this resource for human knowledge is determined by its accessibility and portability, which present fresh challenges to existing techniques in terms of transmission, storage, querying, display and numerical manipulation. As a...

This third edition of Foundations of Algorithms Using C++ Pseudocode retains the features that made the second edition successful. As in the second edition, we still use pseudocode and not actual C++ code. The presentation of complex algorithms using all the details of any programming language would...

New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive...

High-performance system architectures are increasingly exploiting heterogeneity: multi- and manycore-based systems are complemented by coprocessors, accelerators, and reconfigurable units providing huge computational power. However, applications of scientific interest (e.g. in high-performance computing and numerical simulation) are not yet...

This book is a second edition, updated and expanded to explain the technologies that help us find information on the web.  Search engines and web navigation tools have become ubiquitous in our day to day use of the web as an information source, a tool for commercial transactions and a social computing tool. Moreover, through the...

It may sound less surprising that in a field with such a revolutionary methodological impact on all sciences and...

Software automatic tuning is a technology paradigm enabling software adaptation to a variety of computational conditions. Originating from the stream of research works on highperformance computing, it is considered to be the most promising approach to the required performance advancements on the next generation supercomputing platforms. Also,...

The aim of this book is to present the collective expertise of the neuromorphic engineering community. It presents the central concepts required for creative and successful design of analog very-large-scale-integrated (VLSI) circuits. The book could support teaching courses, and provides an efficient introduction to new practitioners who have...

The scope of the conference encompassed the theory and practice of all aspects of...

This book is an introduction to theoretical computer science emphasizing two interrelated areas: the theory of computability {how to tell whether problems are algorithmically solvable) and the theory of formal languages (how to design and use special languages, as for algorithms). Automata {idealized computer devices) are used as precise...

As diverse as tomorrow’s society constituent groups may be, they will share the common requirements that their life should become safer and healthier, offering higher levels of effectiveness, communication and personal freedom. The key common part to all potential solutions fulfilling these requirements is wearable embedded systems,...

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining...