Principles of Data Mining
This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on cla
- PDF / 4,431,359 Bytes
- 530 Pages / 441 x 666 pts Page_size
- 18 Downloads / 192 Views
Max Bramer
Principles of Data Mining Third Edition
Undergraduate Topics in Computer Science
‘Undergraduate Topics in Computer Science’ (UTiCS) delivers high-quality instructional content for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications, UTiCS books take a fresh, concise, and modern approach and are ideal for self-study or for a one- or two-semester course. The texts are all authored by established experts in their fields, reviewed by an international advisory board, and contain numerous examples and problems, many of which include fully worked solutions.
More information about this series at http://www.springer.com/series/7592
Max Bramer
Principles of Data Mining Third Edition
Prof. Max Bramer School of Computing University of Portsmouth Portsmouth, Hampshire, UK Series editor Ian Mackie Advisory board Samson Abramsky, University of Oxford, Oxford, UK Karin Breitman, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil Chris Hankin, Imperial College London, London, UK Dexter Kozen, Cornell University, Ithaca, USA Andrew Pitts, University of Cambridge, Cambridge, UK Hanne Riis Nielson, Technical University of Denmark, Kongens Lyngby, Denmark Steven Skiena, Stony Brook University, Stony Brook, USA Iain Stewart, University of Durham, Durham, UK
ISSN 2197-1781 (electronic) ISSN 1863-7310 Undergraduate Topics in Computer Science ISBN 978-1-4471-7307-6 (eBook) ISBN 978-1-4471-7306-9 DOI 10.1007/978-1-4471-7307-6 Library of Congress Control Number: 2016958879 © Springer-Verlag London Ltd. 2007, 2013, 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer-Verlag London Ltd. The registered company address is: 236 Gray’s Inn Road, London WC1X 8HB, United Kingdom
About This Book
This book is designed to be suitable for an int
Data Loading...
