| 期刊全称 | Big Data Technologies and Applications | | 影响因子2023 | Borko Furht,Flavio Villanustre | | 视频video | | | 发行地址 | 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 | | 图书封面 |  | | 影响因子 | 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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发表于 2025-3-21 16:57:52
