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Titlebook: Big Data Technologies and Applications; Borko Furht,Flavio Villanustre Book 2016 Springer International Publishing Switzerland 2016 Big da

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發(fā)表于 2025-3-21 16:57:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Data Technologies and Applications
影響因子2023Borko Furht,Flavio Villanustre
視頻videohttp://file.papertrans.cn/186/185666/185666.mp4
發(fā)行地址Describes real-life solutions using big data analytics.Focuses on LexisNexis’ platform and its solutions to big data.Covers wide-ranging applications such as security, fraud, and machine learning.Incl
圖書(shū)封面Titlebook: Big Data Technologies and Applications; Borko Furht,Flavio Villanustre Book 2016 Springer International Publishing Switzerland 2016 Big da
影響因子The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform..The book comprises 15 chapters broken into three parts. The first part, .Big Data Technologies., includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, .LexisNexis Risk Solution to Big Data., focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems?) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, .Big Data Applications., describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification..The book is intended for a wide variety of people including researchers, scientists, programmers,
Pindex Book 2016
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Introduction to Contact Mechanicsking it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized. In the present study, we explore how Deep Learning can be utilized for addressing some important problems in Big Data Analytics, including extracting complex patterns from massive volumes of data,
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Visualizing Big Datants of information is evaluated. Based on the results, a non-traditional approach is proposed: we discuss how the capabilities of Augmented Reality and Virtual Reality could be applied to the field of Big Data Visualization. We discuss the promising utility of Mixed Reality technology integration wi
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發(fā)表于 2025-3-22 16:23:44 | 只看該作者
Deep Learning Techniques in Big Data Analyticsking it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized. In the present study, we explore how Deep Learning can be utilized for addressing some important problems in Big Data Analytics, including extracting complex patterns from massive volumes of data,
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cluding fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification..The book is intended for a wide variety of people including researchers, scientists, programmers, 978-3-319-83077-3978-3-319-44550-2
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lications such as security, fraud, and machine learning.InclThe objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform..The book comprises 15 chapters broken into three
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