IT training principles of data mining (2nd ed ) bramer 2013 02 21
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IT training principles of data mining (2nd ed ) bramer 2013 02 21
Undergraduate Topics in Computer ScienceMaxBramerPrinciples of Data MiningSecond Edition0 SpringerUndergraduate Topics in Computer Science (UTiCS) del IT training principles of data mining (2nd ed ) bramer 2013 02 21livers 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 IT training principles of data mining (2nd ed ) bramer 2013 02 21 one- or two-semester course. The texts are all authored by established experts in their fields, reviewed by an international advisory board, and contIT training principles of data mining (2nd ed ) bramer 2013 02 21
ain numerous examples and problems. Many include fully worked solutions.For further volumes:http://www.springer.com/series/7592Max BramerPrinciples ofUndergraduate Topics in Computer ScienceMaxBramerPrinciples of Data MiningSecond Edition0 SpringerUndergraduate Topics in Computer Science (UTiCS) del IT training principles of data mining (2nd ed ) bramer 2013 02 21son Abramsky. University of Oxford. Oxford. UKKarin Breitman. Pontifical Catholic University of Rio de Janeiro. Rio de Janeiro. BrazilChris Hankin. Imperial College London. London. UKDexter Kozen, Cornell University. Ithaca. USAAndrew Pitts. University of Cambridge. Cambridge. UKHanne Riis Nielson. IT training principles of data mining (2nd ed ) bramer 2013 02 21Technical University of Denmark. Kongens Lyngby, DenmarkSteven Skiena. Stony Brook University. Stony Brook. USAIain Stewart. University of Durham. DurIT training principles of data mining (2nd ed ) bramer 2013 02 21
ham. UKISSN 1863-7310 Undergraduate Topics in Computer ScienceISBN 978-1-4471-4883-8ISBN 978-1-4471-4884-5 (eBook)DOI 10.1007/978-1 -4471 -4884-5SprinUndergraduate Topics in Computer ScienceMaxBramerPrinciples of Data MiningSecond Edition0 SpringerUndergraduate Topics in Computer Science (UTiCS) del IT training principles of data mining (2nd ed ) bramer 2013 02 21ight. 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 stora IT training principles of data mining (2nd ed ) bramer 2013 02 21ge and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from thIT training principles of data mining (2nd ed ) bramer 2013 02 21
is legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being enUndergraduate Topics in Computer ScienceMaxBramerPrinciples of Data MiningSecond Edition0 SpringerUndergraduate Topics in Computer Science (UTiCS) del IT training principles of data mining (2nd ed ) bramer 2013 02 21 only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the IT training principles of data mining (2nd ed ) bramer 2013 02 21respective Copyright Law.The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, eIT training principles of data mining (2nd ed ) bramer 2013 02 21
ven in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for generaUndergraduate Topics in Computer ScienceMaxBramerPrinciples of Data MiningSecond Edition0 SpringerUndergraduate Topics in Computer Science (UTiCS) del IT training principles of data mining (2nd ed ) bramer 2013 02 21ors nor the publisher can accept any legal responsibility for any errors or omissions that may lie made. The publisher makes no warranty, express or implied, with respect to the material contained herein.Printed on acid-free paperSpringer is part of springer Science+Business Media (www.springer.com) IT training principles of data mining (2nd ed ) bramer 2013 02 21Undergraduate Topics in Computer ScienceMaxBramerPrinciples of Data MiningSecond Edition0 SpringerUndergraduate Topics in Computer Science (UTiCS) delGọi ngay
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