文档介绍：Principles of Data Mining
by David Hand, Heikki Mannila and Padhraic Smyth ISBN: 026208290x
The MIT Press © 2001 (546 pages)
prehensive, highly technical look at the math and science behind
extracting useful information from large databases.
Table of Contents
Principles of Data Mining
Series Foreword
Preface
Chapter 1 - Introduction
Chapter 2 - Measurement and Data
Chapter 3 - Visualizing and Exploring Data
Chapter 4 - Data Analysis and Uncertainty
Chapter 5 - A Systematic Overview of Data Mining Algorithms
Chapter 6 - Models and Patterns
Chapter 7 - Score Functions for Data Mining Algorithms
Chapter 8 - Search and Optimization Methods
Chapter 9 - Descriptive Modeling
Chapter 10 - Predictive Modeling for Classification
Chapter 11 - Predictive Modeling for Regression
Chapter 12 - anization and Databases
Chapter 13 - Finding Patterns and Rules
Chapter 14 - Retrieval by Content
Appendix - Random Variables
References
Index
List of Figures
List of Tables
List of Examples
Principles of Data Mining
David Hand
Heikki Mannila
Padhraic Smyth
A Bradford Book The MIT Press
Cambridge, Massachusetts LondonEngland
Copyright © 2001 Massachusetts Institute of Technology
All rights reserved. No part of this book may be reproduced in any form by any electronic
or mechanical means (including photocopying, recording, or information storage and
retrieval) without permission in writing from the publisher.
This book was typeset in Palatino by the authors and was printed and bound in the
United States of America.
Library of Congress Cataloging-in-Publication Data
Hand, D. J.
Principles of data mining / David Hand, Heikki Mannila, Padhraic Smyth.
p. cm.—(putation and machine learning)
Includes bibliographical references and index.
ISBN 0-262-08290-X (hc. : alk. paper)
1. Data Mining. I. Mannila, Heikki. II. Smyth, Padhraic. III. Title. IV. Series.