Advances in Data Mining
and Database Management
(ADMDM) Book Series
Editor-in-Chief: David Taniar, Monash University, Australia
Mission
ISSN:2327-1981
EISSN:2327-199X
With the large amounts of information available to organizations in today’s digital world,
there is a need for continual research surrounding emerging methods and tools for collecting,
analyzing, and storing data.
The Advances in Data Mining & Database Management (ADMDM) series aims to
bring together research in information retrieval, data analysis, data warehousing, and related
areas in order to become an ideal resource for those working and studying in these fields.
IT professionals, software engineers, academicians and upper-level students will find titles
within the ADMDM book series particularly useful for staying up-to-date on emerging
research, theories, and applications in the fields of data mining and database management.
• Sequence Analysis
• Educational Data Mining
• Cluster Analysis
• Heterogeneous and Distributed Databases
• Neural Networks
• Database Testing
• Factor Analysis
• Quantitative Structure–Activity Relationship
• Predictive analysis
• Web Mining
Coverage
IGI Global is currently accepting
manuscripts for publication within this
series. To submit a proposal for a volume in
this series, please contact our Acquisition
Editors at Acquisitions@igi-global.com or
visit: http://www.igi-global.com/publish/.
The Advances in Data Mining and Database Management (ADMDM) Book Series (ISSN 2327-1981) is published
by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed
of titles available for purchase individually; each title is edited to be contextually exclusive from any other title within the
series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-data-mining-
database-management/37146. Postmaster: Send all address changes to above address. ©© 2018 IGI Global. All rights,
including translation in other languages reserved by the publisher. No part of this series may be reproduced or used in any
form or by any means – graphics, electronic, or mechanical, including photocopying, recording, taping, or information and
retrieval systems – without written permission from the publisher, except for non commercial, educational use, including
classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global.
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