Can I read Rule Based Systems for Big Data: A Machine Learning Approach (Studies in Big Data Book 13) on EtoBox?

Rule Based Systems for Big Data: A Machine Learning Approach (Studies in Big Data Book 13) by Han Liu, Alexander Gegov, Mihaela Cocea (auth.) is a nonfiction available to read on EtoBox.

What is Rule Based Systems for Big Data: A Machine Learning Approach (Studies in Big Data Book 13) about?

"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 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." -- OhioLink Library Catalog

Who reads Rule Based Systems for Big Data: A Machine Learning Approach (Studies in Big Data Book 13)?

Author

Han Liu, Alexander Gegov, Mihaela Cocea (auth.)

Publisher

Springer; Springer International Publishing AG

Published

2015

Language

EN

ISBN

9783319236957

Category

nonfiction

Subjects

Mathematics, Engineering, Science