Kategoria BISAC: Computers >> Data Science - General

This book constitutes the refereed proceedings of the Second International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries, ISCRAM‐med 2015, held in Tunis, Tunisia, in October 2015.

The objectives of the ISCRAM‐med conference are to provide an outstanding opportunity and an international forum for local and international researchers, practitioners, and policy makers to address and discuss new trends and challenges with respect to information systems for crisis response and disaster management.

The 14 full papers and...

This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image.

Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical...

Web services and Service-Oriented Computing (SOC) have become thriving areas of academic research, joint university/industry research projects, and novel IT products on the market. SOC is the computing paradigm that uses Web services as building blocks for the engineering of composite, distributed applications out of the reusable application logic encapsulated by Web services. Web services could be considered the best-known and most standardized technology in use today for distributed computing over the Internet.

This book is the second installment of a two-book collection covering the...

Digital objects, in their simplest form, are data. They are also a new kind of industrial object that pervades every aspect of our life today--as online videos, images, text files, e-mails, blog posts, Facebook events.Yet, despite their ubiquity, the nature of digital objects remains unclear.

On the Existence of Digital Objects conducts a philosophical examination of digital objects and their organizing schema by creating a dialogue between Martin Heidegger and Gilbert Simondon, which Yuk Hui contextualizes within the history of computing. How can digital objects be understood...

Advances in Imaging and Electron Physics merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.

The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.

• Contains contributions from leading authorities on the subject...

This book constitutes the thoroughly refereed selected papers on the 4th Cyber Security and Privacy Innovation Forum, CSP Forum 2015, held in Brussels, Belgium, in April 2015.

The 12 revised full papers presented were carefully reviewed and selected from various submissions. The papers are organized in topical sections such as security and privacy in the cloud; security and privacy technologies; risk and trust; research and innovation in cyber security and privacy.

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert.

Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore,...

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data," from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications, which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how...