Rule Based Systems for Big Data: A Machine Learning Approach


Rule Based Systems for Big Data: A Machine Learning Approach (Studies in Big Data) Paperback – 23 Aug. 2016
By 作者:Han Liu , Alexander Gegov (Contributor), Mihaela Cocea (Contributor)
pages 页数: 136 pages
Publisher Finelybook 出版社: Springer; Softcover reprint of the original 1st ed. 2016 edition (23 Aug. 2016)
Language 语言: English
ISBN-10 书号:3319370278
ISBN-13 书号:9783319370279
Book Description to Finelybook sorting
The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built By 作者:using expert knowledge or learning from real data.
The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

下载地址 DOWNLOAD下载或查看,隐藏内容需1积分,请先!没有帐号? 捐 助 获取帐号
觉得文章有用就打赏一下文章作者
未经允许不得转载:finelybook » Rule Based Systems for Big Data: A Machine Learning Approach
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏