Germany

License single eBooks

Building better eBook deals for libraries

Take our 5-minute survey to help shape smarter, more affordable eBook discounts for your library.

Start survey

Your results

Advanced search

Search and filter

Free text

Search across titles, authors, ISBNs, and more

ISBNs

Copy and paste up to 3000 ISBNs separated by comma(,), space (‘ ’), or line break

You've reached the limit of 3000 ISBN numbers

Subjects

SN’s own taxonomy

Search for subjects

No results found. Try again with another term.

0 selected out of 0 items

Show All Selected

Download list (.CSV)

View Cart

Rule Based Systems for Big Data

A Machine Learning Approach

Han Liu; Alexander Gegov; Mihaela Cocea

978-3-319-23696-4

2016
Edition 1
- Presents a novel theory of rule based systems in machine learning context
- Introduces ways of big data processing by rule learning algorithms for knowledge discovery and predictive modelling in classification tasks
- Focuses on introducing effective ways to address the issues relating to predictive accuracy, computational complexity and interpretability of rule based systems for classification
- Some popular methods and techniques, which can be used as components of the framework, are described and justified in detail
- Explores explicitly the connections between rule based systems and machine learning in a conceptual context
- Includes supplementary material: sn.pub/extras
€180 €162
10% OFF

Help library users learn, on good terms

License single eBooks to give your patrons unlimited Springer Nature Link access to the eBooks they need, with clear and generous terms for the library.