Machine learning and data mining: introduction to principles and algorithms

Abstract

Introduction Learning and intelligence Machine learning basics Knowledge representation Learning as search Attribute quality measures Data pre-processing Constructive induction Symbolic learning Statistical learning Artificial neural networks Cluster analysis Learning theory Computational learning theory Definitions References and index.