Learning From Data Streams In Dynamic Environments (springerbriefs In Applied Sciences And Technology)
by Moamar Sayed-Mouchaweh /
2015 / English / PDF
3.4 MB Download
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.
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.