Publications

available from Horwood publ.
Igor Kononenko and Matjaz Kukar:
MACHINE LEARNING AND DATA MINING: Introduction to Principles and Algorithms
(20+454 pages)

This book describes the basics of machine learning principles and algorithms used in data mining. It is suitable for advanced undergraduate and postgraduate students of computer science, researchers who want to adapt algorithms for particular data mining tasks, and advanced users of machine learning and data mining tools.

Here are Initial pages from MLDM book

CONTENTS: Introduction, Learning and Intelligence, Machine Learning Basics, Knowledge Representation, Learning as Search, Attribute Quality Measures, Data Preprocessing, Constructive Induction, Symbolic Learning, Statistical Learning, Artificial Neural Networks, Cluster Analysis, Learning Theory, Computational Learning Theory

Detailed table of contents, Foreword by Prof. Ivan Bratko and Preface are available at the book web page:

http://mldmbook.fri.uni-lj.si/

Ordering: http://www.horwoodpublishing.net/

ISBN-10: 1-904275-21-4

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