Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications


Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications (Unsupervised and Semi-Supervised Learning)
ISBN-10 书号: 3319978632
ISBN-13 书号: 9783319978635
Edition 版本: 1st ed. 2019
Release Finelybook 出版日期: 2018-10-28
pages 页数: (187 )

$169.99

This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.

由于版权问题,我们将只保留该文章的介绍,不再提供版权文件的下载,对您造成的不便敬请谅解。
您可以 登陆 获取帮助..
此资源下载价格为0.1积分,请先

下载前先升级VIP或点立即购买,即可获取下载地址

捐助 即送35积分
点击了解一下

赞(0) 赞赏
未经允许不得转载:finelybook » Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就赞赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏