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Titlebook: Big Data and Visual Analytics; Sang C. Suh,Thomas Anthony Conference proceedings 2017 Springer International Publishing AG 2017 Big data.B

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发表于 2025-3-21 16:48:49 | 显示全部楼层 |阅读模式
期刊全称Big Data and Visual Analytics
影响因子2023Sang C. Suh,Thomas Anthony
视频video
发行地址Presents the benefits of the methods and technologies used in big data and visual analytics and examines the challenges of future research in this area.Covers tensor-based computation and modeling.Eac
图书封面Titlebook: Big Data and Visual Analytics;  Sang C. Suh,Thomas Anthony Conference proceedings 2017 Springer International Publishing AG 2017 Big data.B
影响因子.This 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..
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Swarm Intelligence Applied to Big Data Analytics for Rescue Operations with RASEN Sensor Networks,d technology, cyber-physical system platforms, and algorithms exist which can coordinate rescue operations utilizing swarm intelligence with Rapid Alert Sensor for Enhanced Night Vision (RASEN). We will also introduce biologically inspired algorithms combined with proposed fusion night vision techno
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Scalable Gene Sequence Analysis on Spark,equences, and analysis of such large-scale sequencing data is the primary concern. This chapter introduces a scalable genome sequence analysis system, which makes use of parallel computing features of Apache Spark and its relational processing module called Spark Structured Query Language (Spark SQL
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Big Sensor Data Acquisition and Archiving with Compression,tion of sensor data and the storage of massive sensor data collection. These data sources generate so much data quickly that data compression is essential to reduce storage requirement or transmission capacity of devices. This work first discusses a low complexity sensing framework which enables to
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A Big Data Analytics Approach in Medical Imaging Segmentation Using Deep Convolutional Neural Netwoloping solutions from large datasets, and is an important tool in the big data analytics toolbox. Deep Learning has been recently employed to solve various problems in computer vision and demonstrated state-of-the-art performance on visual recognition tasks. In medical imaging, especially in brain t
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Big Data in Libraries,he three Vs): Volume, Velocity and Variety. Laney [1, 2] Each of these has different challenges. Huge volumes of data require the ability to store and retrieve the data efficiently. High velocity data requires the ability to ingest the data as it is created, essentially very fast internet connection
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