Principles of Data Mining (Undergraduate Topics in Computer Science)

Max Bramer

ISBN 10: 1447173066 / ISBN 13: 9781447173069

Edité par Springer 01/v /17 N, 2016

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Synopsis :

This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed examples, with a focus on algorithms rather than mathematical formalism.

À propos de l?auteur:

Max Bramer is Emeritus Professor of Information Technology at the University of Portsmouth, England, Vice-President of the International Federation for Information Processing (IFIP) and Chair of the British Computer Society Specialist Group on Artificial Intelligence.

He has been actively involved since the 1980s in the field that has since come to be called by names such as Data Mining, Knowledge Discovery in Databases, Big Data and Predictive Analytics. He has carried out many projects in the field, particularly in relation to automatic classification of data, and has published extensively in the technical literature. He has taught the subject to both undergraduate and postgraduate students for many years.

Some of Max Bramer’s other Springer publications include:

Research and Development in Intelligent Systems

Artificial Intelligence in Theory and Practice

Artificial Intelligence: an International Perspective

Logic Programming with Prolog

Web Programming with PHP and MySQL

Détails bibliographiques

Titre : Principles of Data Mining (Undergraduate ...
Éditeur : Springer 01/v /17 N
Date d'édition : 2016
Reliure : Paperback
Etat : Very Good
Edition : 3ème Édition