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Can I read Rule Based Systems for Big Data: A Machine Learning Approach on EtoBox?
Rule Based Systems for Big Data: A Machine Learning Approach by Han Liu, Alexander Gegov, Mihaela Cocea is a nonfiction available to read on EtoBox.
What is Rule Based Systems for Big Data: A Machine Learning Approach 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.
Who reads Rule Based Systems for Big Data: A Machine Learning Approach?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Han Liu, Alexander Gegov, Mihaela Cocea
- Published
- 2015
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Algorithms And Data Structures, Stem
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