Advanced Data Mining and Applications 6th International Conferen
With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but
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Subseries of Lecture Notes in Computer Science
6440
Longbing Cao Yong Feng Jiang Zhong (Eds.)
Advanced Data Mining and Applications 6th International Conference, ADMA 2010 Chongqing, China, November 19-21, 2010 Proceedings, Part I
13
Series Editors Randy Goebel, University of Alberta, Edmonton, Canada Jörg Siekmann, University of Saarland, Saarbrücken, Germany Wolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany Volume Editors Longbing Cao University of Technology Sydney Faculty of Engineering and Information Technology Sydney, NSW 2007, Australia E-mail: [email protected] Yong Feng Chongqing University College of Computer Science Chongqing, 400030, China E-mail: [email protected] Jiang Zhong Chongqing University College of Computer Science Chongqing, 400030, China E-mail: [email protected]
Library of Congress Control Number: 2010939048
CR Subject Classification (1998): I.2, H.3, H.4, H.2.8, J.1, H.5 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-17315-2 Springer Berlin Heidelberg New York 978-3-642-17315-8 Springer Berlin Heidelberg New York
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Preface
With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overload is now an imminent problem to mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects of data and to help people make informed, sensible, and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new fields of data mining, e.g., spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The 6th International Conference on Advanced Data Mining and Applications (ADMA 2010) aimed to bring together the experts on data mining throughout the world. It provided a leading international forum for the dissemination of original research results in
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