Many practical computing problems concern large graphs. Standard examples include the
Web graph and various social networks. The scale of these graphs-in some cases billions of …

A comprehensive update of the leading algorithms text, with new material on matchings in
bipartite graphs, online algorithms, machine learning, and other topics. Some books on …

This newly expanded and updated second edition of the best-selling classic continues to
take the" mystery" out of designing algorithms, and analyzing their efficacy and efficiency …

Today, organizations use IEEE802. 15.4 and ZigBee to effectively deliver solutions for a
variety of areas including consumer electronic device control, energy management and …

The conformal predictions framework is a recent development in machine learning that can
associate a reliable measure of confidence with a prediction in any real-world pattern …

Before there were computers, there were algorithms. But now that there are computers, there
are even more algorithms, and algorithms lie at the heart of computing. This book provides a …

The book is intended for lectures on string processes and pattern matching in Master's
courses of computer science and software engineering curricula. The details of algorithms …

This handbook provides an up-to-date compendium of fundamental computer science
topics, techniques, and applications. Along with updating and revising many of the existing …

MicroRNAs (miRNAs), a class of∼ 20–24 nt long non-coding RNAs, have critical roles in
diverse biological processes including development, proliferation, stress response, etc. With …

Detection of anomalous trajectories is an important problem in the surveillance domain.
Various algorithms based on learning of normal trajectory patterns have been proposed for …