Learning from data streams in dynamic environments

• 作者： Sayed-Mouchaweh, Moamar, author.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • SpringerBriefs in applied sciences and technology.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： SpringerBriefs in applied sciences and technology,
• 主題： Machine learning. , Data mining. , Adaptive computing systems. , Engineering. , Computational Intelligence. , Artificial Intelligence (incl. Robotics) , Communications Engineering, Networks.
• ISBN： 9783319256672 (electronic bk.) 、 9783319256658 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction to learning -- Learning in dynamic environment -- Handling concept drift -- Summary and final comments.
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• 摘要註: This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.
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