Advanced Visual Interfaces Supporting Distributed Cloud-Based Big Data Analysis
Author: Marco X. Bornschlegl
Publisher:
Published: 2019
Total Pages:
ISBN-13:
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Advanced Visual Interfaces. Supporting Big Data Applications
Author: Marco X. Bornschlegl
Publisher: Springer
Published: 2016-12-15
Total Pages: 154
ISBN-13: 3319500708
DOWNLOAD EBOOKThis book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2016 Workshop on Road Mapping Infrastructures for Advanced Visual Interfaces Supporting Big Data Applications in Virtual Research Environments, AVI-BDA 2016, held in Bari, Italy, in June 2016. The 10 revised full papers in this volume present the elaborated outcome of the initial position papers capturing the results oft the roadmapping discussions in the workshop at which comments of several external reviewers for these full publications were also integrated.
Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications
Author: Thoralf Reis
Publisher: Springer Nature
Published: 2021-02-02
Total Pages: 213
ISBN-13: 303068007X
DOWNLOAD EBOOKThis book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020. The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design.
Advances in Data Science: Methodologies and Applications
Author: Gloria Phillips-Wren
Publisher: Springer Nature
Published: 2020-08-26
Total Pages: 333
ISBN-13: 3030518701
DOWNLOAD EBOOKBig data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.
Advanced Visual Interfaces
Author: Marco X. Bornschlegl
Publisher:
Published: 2016
Total Pages: 143
ISBN-13: 9783319500713
DOWNLOAD EBOOKThis book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2016 Workshop on Road Mapping Infrastructures for Advanced Visual Interfaces Supporting Big Data Applications in Virtual Research Environments, AVI-BDA 2016, held in Bari, Italy, in June 2016. The 10 revised full papers in this volume present the elaborated outcome of the initial position papers capturing the results oft the roadmapping discussions in the workshop at which comments of several external reviewers for these full publications were also integrated.
Cloud Computing and Big Data
Author: C. Catlett
Publisher: IOS Press
Published: 2013-10-22
Total Pages: 260
ISBN-13: 161499322X
DOWNLOAD EBOOKCloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the limitations imposed by accessibility, security and communication speed, before these advantages can be exploited to the full. This book presents 14 contributions selected from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in June 2012. The papers are arranged in three chapters. Chapter 1 includes five papers on cloud infrastructures, while Chapter 2 discusses cloud applications. The third chapter in the book deals with big data, which is nothing new – large scientific organizations have been collecting large amounts of data for decades – but what is new is that the focus has now broadened to include sectors such as business analytics, financial analyses, Internet service providers, oil and gas, medicine, automotive and a host of others. This book will be of interest to all those whose work involves them with aspects of cloud computing and big data applications.
Artificial Intelligence Applications and Innovations
Author: Ilias Maglogiannis
Publisher: Springer Nature
Published:
Total Pages: 382
ISBN-13: 303163215X
DOWNLOAD EBOOKSoftware Architecture for Big Data and the Cloud
Author: Ivan Mistrik
Publisher: Morgan Kaufmann
Published: 2017-06-12
Total Pages: 472
ISBN-13: 0128093382
DOWNLOAD EBOOKSoftware Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. - Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques - Presents case studies involving enterprise, business, and government service deployment of big data applications - Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data
Big Data and Visual Analytics
Author: Sang C. Suh
Publisher: Springer
Published: 2018-01-15
Total Pages: 262
ISBN-13: 331963917X
DOWNLOAD EBOOKThis book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.
Advanced Computer Architecture
Author: Junjie Wu
Publisher: Springer
Published: 2016-08-08
Total Pages: 222
ISBN-13: 9811022097
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 11th Annual Conference on Advanced Computer Architecture, ACA 2016, held in Weihai, China, in August 2016. The 17 revised full papers presented were carefully reviewed and selected from 89 submissions. The papers address issues such as processors and circuits; high performance computing; GPUs and accelerators; cloud and data centers; energy and reliability; intelligence computing and mobile computing.
