Rule Based Systems for Big Data A Machine Learning Approach /

• Κύριοι συγγραφείς: Liu, Han (Συγγραφέας), Gegov, Alexander (Συγγραφέας), Cocea, Mihaela (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2015.
• Σειρά: Studies in Big Data, 13
• Θέματα: Engineering.; Data mining.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.

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 evalu...

Πίνακας περιεχομένων:

• Introduction
• Theoretical Preliminaries
• Generation of Classification Rules
• Simplification of Classification Rules
• Representation of Classification Rules
• Ensemble Learning Approaches
• Interpretability Analysis.