Data Mining Essay

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Principles of Data Mining by David Hand, Heikki Mannila and Padhraic Smyth The MIT Press © 2001 (546 pages) A comprehensive, highly technical look at the math and science behind extracting useful information from large databases. ISBN: 026208290x Table of Contents Principles of Data Mining Series Foreword Preface Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9 - Introduction - Measurement and Data - Visualizing and Exploring Data - Data Analysis and Uncertainty - A Systematic Overview of Data Mining Algorithms - Models and Patterns - Score Functions for Data Mining Algorithms - Search and Optimization Methods - Descriptive Modeling Chapter 10 - Predictive Modeling for Classification Chapter 11 - Predictive Modeling for Regression Chapter 12 - Data Organization and Databases Chapter 13 - Finding Patterns and Rules Chapter 14 - Retrieval by Content Appendix References Index List of Figures List of Tables List of Examples - Random Variables 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.—(Adaptive computation 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.

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