Search results: Found 9

Listing 1 - 9 of 9
Sort by
Consumer Data Research

Authors: --- ---
ISBN: 9781787353886 Year: Pages: 196 DOI: 10.14324/111.9781787353886 Language: English
Publisher: UCL Press
Subject: Geography --- Economics --- Sociology --- Social Sciences --- Science (General)
Added to DOAB on : 2018-06-14 11:01:58
License:

Loading...
Export citation

Choose an application

Abstract

Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from conventional social science data not only in their volume, variety and velocity, but also in terms of their provenance and fitness for ever more research purposes. The contributors to this book, all from the Consumer Data Research Centre, provide a first consolidated statement of the enormous potential of consumer data research in the academic, commercial and government sectors – and a timely appraisal of the ways in which consumer data challenge scientific orthodoxies.

Social Theory after the Internet

Author:
ISBN: 9781787351226 Year: Pages: 210 DOI: 10.14324/111.9781787351226 Language: English
Publisher: UCL Press Grant: Knowledge Unlatched - 100895
Subject: Sociology --- Media and communication --- Social Sciences
Added to DOAB on : 2018-01-09 11:02:05
License:

Loading...
Export citation

Choose an application

Abstract

The internet has fundamentally transformed society in the past 25 years, yet existing theories of mass or interpersonal communication do not work well in understanding a digital world. Nor has this understanding been helped by disciplinary specialization and a continual focus on the latest innovations. Ralph Schroeder takes a longer-term view, synthesizing perspectives and findings from various social science disciplines in four countries: the United States, Sweden, India and China. His comparison highlights, among other observations, that smartphones are in many respects more important than PC-based internet uses. Social Theory after the Internet focuses on everyday uses and effects of the internet, including information seeking and big data, and explains how the internet has gone beyond traditional media in, for example, enabling Donald Trump and Narendra Modi to come to power. Schroeder puts forward a sophisticated theory of the role of the internet, and how both technological and social forces shape its significance. He provides a sweeping and penetrating study, theoretically ambitious and at the same time always empirically grounded.The book will be of great interest to students and scholars of digital media and society, the internet and politics, and the social implications of big data.

Nanoinformatics

Author:
ISBN: 9789811076169 9789811076176 Year: Pages: 298 DOI: https://doi.org/10.1007/978-981-10-7617-6 Language: English
Publisher: Springer Nature Grant: Japan Society for the Promotion of Science (JSPS)
Subject: Computer Science --- Technology (General)
Added to DOAB on : 2018-06-29 12:53:05
License:

Loading...
Export citation

Choose an application

Abstract

This open access book brings out the state of the art on how informatics-based tools are used and expected to be used in nanomaterials research. There has been great progress in the area in which “big-data” generated by experiments or computations are fully utilized to accelerate discovery of new materials, key factors, and design rules. Data-intensive approaches play indispensable roles in advanced materials characterization. "Materials informatics" is the central paradigm in the new trend. "Nanoinformatics" is its essential subset, which focuses on nanostructures of materials such as surfaces, interfaces, dopants, and point defects, playing a critical role in determining materials properties. There have been significant advances in experimental and computational techniques to characterize individual atoms in nanostructures and to gain quantitative information. The collaboration of researchers in materials science and information science is growing actively and is creating a new trend in materials science and engineering.

Heterogeneity, High Performance Computing, Self-Organization and the Cloud

Authors: --- ---
Book Series: Palgrave Studies in Digital Business & Enabling Technologies ISBN: 9783319760377 9783319760384 Year: Pages: 165 DOI: https://doi.org/10.1007/978-3-319-76038-4 Language: English
Publisher: Palgrave Macmillan Grant: European Commission; Irish Centre for Cloud Computing and Commerce
Subject: Business and Management --- Computer Science
Added to DOAB on : 2018-07-20 18:56:40
License:

Loading...
Export citation

Choose an application

Abstract

This open access book addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture based on the principles of self-organisation and self-management. This focus shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. It also outlines validation challenges and introduces a novel generalised extensible simulation framework to illustrate the effectiveness, performance and scalability of self-organising and self-managing delivery models on hyperscale cloud infrastructures. It concludes with a number of potential use cases for self-organising, self-managing clouds and the impact on those businesses.

The Big Data Agenda

Author:
Book Series: Critical, Digital and Social Media Studies ISBN: 9781911534723 9781911534976 9781911534730 9781911534747 9781911534754 Year: Pages: 154 DOI: 10.16997/book14 Language: English
Publisher: University of Westminster Press Grant: Knowledge Unlatched - 101385
Subject: Biology --- Internal medicine --- Medicine (General) --- Philosophy --- Media and communication
Added to DOAB on : 2018-05-09 11:01:56
License:

Loading...
Export citation

Choose an application

Abstract

"This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed. An electronic version of this book is freely available, thanks to the support of libraries working with Knowledge Unlatched. KU is a collaborative initiative designed to make high quality books Open Access for the public good. More information about the initiative and details about KU's Open Access programme can be found at www.knowledgeunlatched.org."

Risikoadaptierte Prävention: Governance Perspective für Leistungsansprüche bei genetischen (Brustkrebs-)Risiken

Authors: --- --- --- --- et al.
Book Series: essentials ISSN: 2197-6708 ISBN: 9783658208004 9783658208011 Year: Pages: 47 DOI: https://doi.org/10.1007/978-3-658-20801-1 Language: German
Publisher: Springer Nature Grant: Friedrich-Alexander-Universität Erlangen-Nürnberg
Subject: Oncology
Added to DOAB on : 2018-06-29 16:45:45
License:

Loading...
Export citation

Choose an application

Abstract

Die vorliegende Studie empfiehlt, Leistungsansprüche für Personen mit interventionsfordernden (Brustkrebs-)Risiken anhand einer neuen Rechtskategorie, der ‚risikoadaptieren Prävention‘, abzubilden. Spätestens seit dem bioinformatischen Innovationsschub (Big Data) kann eine risikoadaptierte Anwendung von prophylaktischen Maßnahmen umfassend gewährleistet werden. Jedoch können die gegebenen Rechtskategorien (primäre Prävention, Vorsorge, Krankenbehandlung) das medizinische Anwendungsfeld nicht adäquat steuern.

Scalable Interactive Visualization

Authors: ---
ISBN: 9783038428039 9783038428046 Year: Pages: VIII, 236 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2018-05-08 11:38:50
License:

Loading...
Export citation

Choose an application

Abstract

Data available in today’s information society is ever growing in size and complexity—i.e., unstructured, multidimensional, uncertain, etc.—making it impossible to survey and understand this data. Traditionally, most of these datasets are stored and depicted as huge tables, hindering efficient retrieval of salient information—similarities, outliers, structures, origin, etc. Interactive visualization provides an interface to this data that can help gleaning valuable information from it, thus supporting better data understanding by significantly reducing cognitive load on the analyst. Two fundamental concepts, visualization and interaction, form the basis of the underlying scientific methods. Combining these concepts connects two key research areas in computer science: visualization and human-computer interaction (HCI) and brings together practitioners from many disciplines. The result is highly multi-disciplinary work with significant impact and virtually unlimited application areas. However, truly interactive visualizations are hard to design and implement, so researchers have to solve multiple problems. This Special Issue provides an overciew over the current state-of-the-art of “Interactive Visualization.” It shows recent work in the field, as well as trends for future development.

Supercomputing Frontiers: 4th Asian Conference, SCFA 2018, Singapore, March 26-29, 2018, Proceedings

Authors: ---
Book Series: Theoretical Computer Science and General Issues ISBN: 9783319699523 9783319699530 Year: Volume: 10776 Pages: 293 DOI: https://doi.org/10.1007/978-3-319-69953-0 Language: English
Publisher: Springer Nature Grant: National Supercomputing Centre (NSCC), Singapore
Subject: Computer Science
Added to DOAB on : 2018-07-20 15:24:25
License:

Loading...
Export citation

Choose an application

Abstract

It constitutes the refereed proceedings of the 4th Asian Supercomputing Conference, SCFA 2018, held in Singapore in March 2018. Supercomputing Frontiers will be rebranded as Supercomputing Frontiers Asia (SCFA), which serves as the technical programme for SCA18. The technical programme for SCA18 consists of four tracks: Application, Algorithms & LibrariesProgramming System SoftwareArchitecture, Network/Communications & ManagementData, Storage & VisualisationThe 20 papers presented in this volume were carefully reviewed nd selected from 60 submissions.

Advances in Multi-Sensor Information Fusion: Theory and Applications 2017

Authors: --- --- ---
ISBN: 9783038429333 9783038429340 Year: Pages: VIII, 560 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Electrical and Nuclear Engineering
Added to DOAB on : 2018-06-26 15:21:03
License:

Loading...
Export citation

Choose an application

Abstract

The information fusion technique can integrate a large amount of data and knowledge representing the same real-world object and obtain a consistent, accurate and useful representation of that object. The data may be independent or redundant, and can be obtained by different sensors at the same time or at different times. A suitable combination of investigative methods can substantially increase the profit of information in comparison with that from a single sensor.Multi-sensor information fusion has been a key issue in sensor research since the 1970s and it has been applied in many fields, such as geospatial information systems, business intelligence, oceanography, discovery science, intelligent transport systems, wireless sensor networks, etc. Recently, thanks to the vast development in sensor and computer memory technologies, more and more sensors are being used in practical systems and a large amount of measurement data are recorded and restored, which may actually be the "time series big data". For example, sensors in machines and process control industries can generate a lot of data, which have real, actionable business value. The fusion of these data can greatly improve productivity through digitization.The goal of this Special Issue is to report on innovative ideas and solutions for the methods of multi-sensor information fusion in the emerging applications era, focusing on development, adoption and applications.

Listing 1 - 9 of 9
Sort by