This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding th...

In the past ten years, Canadians have witnessed a renaissance in the delivery of government services. New service organizations are cropping up across the country and accomplishing extraordinary things. Efforts are being made to consult citizens on how to improve and integrate services. Considerable resources are being invested in measuring and showcasing performance improvement.This book probes the central dimensions of service reform efforts from a variety of perspectives and ans...

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains...

In an increasingly interconnected environment, shocks, crises, cascading failures, and surprising breakthroughs are features of our age. The ability to anticipate, intervene, innovate, and adapt is now seen as essential for governments. Public officials serve in an expanded public space that is being reshaped by the rise of social networking and modern information and communication technologies. The desired results on many public issues exceed the reach and resources of government....

Fault-Tolerant Systems is the first book on fault tolerance design with a systems approach to both hardware and software. No other text on the market takes this approach, nor offers the comprehensive and up-to-date treatment that Koren and Krishna provide. This book incorporates case studies that highlight six different computer systems with fault-tolerance techniques implemented in their design. A complete ancillary package is available to lecturers, including online solutions manual for ...

For decades, public service organizations have been under constant and growing pressure from citizens and stakeholders to provide more integrated, effective and accountable programs and services. Governments are beginning to acknowledge that they can’t own every issue and increasingly look to collaboration, networking and consultation at many levels as they design and develop polices, programs and service delivery mechanisms. Building Better Public Services explores the challenges facing publ...

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of the twenty-five chapters includes state-of-the-art descriptions and important research...

The rapid expansion of the Internet has fueled the emergence of electronic government at all levels in Canada. E-government's first decade featured online service underpinned by a technically secure infrastructure. This service-security nexus entails internal governance reforms aimed at realizing more customer-centric delivery via integration and coordination across departments and agencies. Yet, as online networking has become more pervasive and public demands for participation rise, pres...

This book gives a comprehensive description of the architecture of microprocessors from simple in-order short pipeline designs to out-of-order superscalars. It discusses topics such as: • The policies and mechanisms needed for out-of-order processing such as register renaming, reservation stations, and reorder buffers • Optimizations for high performance such as branch predictors, instruction scheduling, and load-store speculations • Design choices and enhancements to tolerate latency in t...

Despite predictions that 'new public management' would establish itself as the new paradigm of Public Administration and Management, recent academic research has highlighted concerns about the intra-organizational focus and limitations of this approach. This book represents a comprehensive analysis of the state of the art of public management, examining and framing the debate in this important area.The New Public Governance? sets out to explore this emergent field of resea...

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large...