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Jesus Meña - Data mining your website

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Turn Web data into knowledge about your customers.This exciting book will help companies create, capture, enhance, and analyze one of their most valuable new sources of marketing information-usage and transactional data from a website. A companys website is a primary point of contact with its customers and a medium in which visitors actions are messages about who they are and what they want. Data Mining Your Website will teach you the tools, techniques, and technologies youll need to profile current and potential customers and predict on-line interests and behavior. Youll learn how to extract from the huge pools of information your website generates, insights into on-line buying patterns, and how to apply this knowledge to design a website that better attracts, engages, and retains on-line customers. Data Mining Your Website explains how data mining is a foundation for the new field of web-based, interactive retailing, marketing, and advertising. This innovative book will help web developers and marketers, webmasters, and data management professionals harness powerful new tools and processes. The first book to apply data mining specifically to e-commerce Learn effective methods for gathering, managing, and mining Web customer informationUse data mining to profile customers and create personalized e-commerce programs

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title Data Mining Your Website author Mea Jesus publisher - photo 1

title:Data Mining Your Website
author:Mea, Jesus.
publisher:Elsevier
isbn10 | asin:1555582222
print isbn13:9781555582227
ebook isbn13:9780585275574
language:English
subjectInformation technology--Management, Data mining, Internet marketing, Business enterprises--Computer networks, Web sites.
publication date:1999
lcc:HD30.2.M455 1999eb
ddc:006.3
subject:Information technology--Management, Data mining, Internet marketing, Business enterprises--Computer networks, Web sites.
Page iii
Data Mining Your Website
Jesus Mena
Page iv Digital Press is an imprint of ButterworthHeinemann Copyright - photo 2
Page iv
Digital Press is an imprint of ButterworthHeinemann.
Copyright 1999 by ButterworthHeinemann
Picture 3 A member of the Reed Elsevier group
All rights reserved.
All trademarks found herein are property of their respective owners.
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, recording, or otherwise, without the prior written permission of the publisher.
Picture 4 Recognizing the importance of preserving what has been written, ButterworthHeineman prints its books on acid-free paper whenever possible.
Picture 5 ButterworthHeinemann supports the efforts of American Forests and the Global ReLeaf program in its campaign for the betterment of trees, forests, and our environment.
Library of Congress Cataloging-in-Publication Data
Mena, Jesus.
Data mining your website / Jesus Mena.
p. cm.
ISBN 1-55558-222-2 (alk. paper)
1. Information technologyManagement. 2. Data mining.
3. Internet marketing. 4. Business enterprisesComputer networks.
5. Web sites. I. Title.
HD30.2.M455 1999
006.3dc21 99-22694
CIP
British Library Cataloguing-in-Publication Data
A catalogue record for this book is available from the British Library.
The publisher offers special discounts on bulk orders of this book.
For information, please contact:
Manager of Special Sales
ButterworthHeinemann
225 Wildwood Avenue
Woburn, MA 01801-2041
Tel: 781-904-2500
Fax: 781-904-2620
For information on all Digital Press publications available, contact our World Wide Web home page at: http://www.bh.com/digitalpress
10 9 8 7 6 5 4 3 2
Printed in the United States of America
Page v
To Megs
Page vii
Contents
Chapter 1
Mine2.Com
1
Picture 6
The Idle Portal
1
Picture 7
Mining Data
4
Picture 8
Nothing New
7
Picture 9
Mining Online
8
Picture 10
How Data Mining Answers Key Business Questions
10
Picture 11
Classification/Prediction
10
Picture 12
Segmentation
11
Picture 13
Association
13
Picture 14
Clustering
15
Picture 15
Visualization
15
Picture 16
Optimization
17
Picture 17
Data Mining Drives Relational Marketing
19
Picture 18
Web Privacy
20
Picture 19
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