下载书籍Principles and Theory for Data Mining and Machine Learning

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ISSN 0172-7397
ISBN 978-0-387-98134-5 e-ISBN 978-0-387-98135-2
DOI 10.1007/978-0-387-98135-2
Springer Dordrecht Heidelberg London New York
Library of Congress Control Number: 2009930499
c
Springer Science+Business Media, LLC 2009
All rights reserved. This work may not be translated or copied in whole or in part without the written
permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York,
NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in
connection with any form of information storage and retrieval, electronic adaptation, computer
software, or by similar or dissimilar methodology now known or hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if
they are not identified as such, is not to be taken as an expression of opinion as to whether or not
they are subject to proprietary rights.
Printed on acid-free paper
Springer is part of Springer Science+Business Media (www.springer.com)

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关键词：Data Mining Principles principle Learning earning Theory Mining Data Learning machine

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