Data sets in large applications are often too massive to fit completely inside the computers
internal memory. The resulting input/output communication (or I/O) between fast internal …

Algorithms are at the heart of every nontrivial computer application, and algorithmics is a
modern and active area of computer science. Every computer scientist and every …

Although there are many advanced and specialized texts and handbooks on algorithms,
until now there was no book that focused exclusively on the wide variety of data structures …

Anomaly detection is considered an important data mining task, aiming at the discovery of
elements (also known as outliers) that show significant diversion from the expected case …

Data sets in large applications are often too massive to fit completely inside the computer's
internal memory. The resulting input/output communication (or I/O) between fast internal …

viii Preface reason for this change is that sequential processors have ceased to get
proportional performance improvements from increased circuit complexity. Although the …

We present a technique for designing external memory data structures that support batched
operations I/O efficiently. We show how the technique can be used to develop external …

We present a new approach for designing external graph algorithms and use it to design
simple, deterministic and randomized external algorithms for computing connected …

Anomaly detection is considered an important data mining task, aiming at the discovery of
elements (known as outliers) that show significant diversion from the expected case. More …

Abstract Spiking Neural Networks (SNNs) are biologically-inspired models that are capable
of processing information in streams of action potentials. However, simulating and training …