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    Data Mining Techniques: Theory and Practice Course Notes     Data Mining Techniques: Theory and Practice Course Notes was developed by Michael Berry and Gordon S. Linoff. Additional contributions were made by Bob Lucas. Editing and production support was  provided by the Curriculum Development and Support Department. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Data Mining Techniques: Theory and Practice Course Notes Copyright © 2009 Data Miners, Inc.. All rights reserved. Printed in the United States of America. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the  publisher, SAS Institute Inc. Book code E1618, course code BDMT61, prepared date 30Sep2009. BDMT61_001 ISBN 978-1-60764-366-1   For Your Information iii   Table of Contents Course Description ....................................................................................................................... v   Prerequisites ................................................................................................................................ vi   Chapter 1 Introduction .......................................................................................... 1-1   1.1 Introduction ...................................................................................................................... 1-3   Chapter 2 Methodology ......................................................................................... 2-1   2.1 Introduction ...................................................................................................................... 2-3   Chapter 3 Data Exploration ................................................................................... 3-1   3.1 The Environment and Data Exploration .......................................................................... 3-3   Chapter 4 Regression Models............................................................................... 4-1   4.1 Regression ........................................................................................................................ 4-3   Chapter 5 Decision Trees ...................................................................................... 5-1   5.1 Decision Trees .................................................................................................................. 5-3   Chapter 6 Neural Networks ................................................................................... 6-1   6.1 Neural Network Models ................................................................................................... 6-3   Chapter 7 Memory-Based Reasoning .................................................................. 7-1   7.1 Memory-Based Reasoning ............................................................................................... 7-3   Chapter 8 Clustering .............................................................................................. 8-1   8.1 Clustering ......................................................................................................................... 8-3    iv   For Your Information Chapter 9 Survival Analysis .................................................................................. 9-1   9.1 Survival Analysis ............................................................................................................. 9-3   Chapter 10 Association Rules .............................................................................. 10-1   10.1 Market Basket Analysis and Association Rules ............................................................. 10-3   Chapter 11 Link Analysis ...................................................................................... 11-1   11.1 Link Analysis ................................................................................................................. 11-3   Chapter 12 Genetic Algorithms ............................................................................ 12-1   12.1 Optimization and Genomes ............................................................................................ 12-3  
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