Modern Technologies for
Big Data Classification
and Clustering
Hari Seetha
Vellore Institute of Technology-Andhra Pradesh, India
M. Narasimha Murty
Indian Institute of Science, India
B. K. Tripathy
VIT University, India
A volume in the Advances in Data
Mining and Database Management
(ADMDM) Book Series
Published in the United States of America by
IGI Global
Information Science Reference (an imprint of IGI Global)
701 E. Chocolate Avenue
Hershey PA, USA 17033
Tel: 717-533-8845
Fax:717-533-8661
E-mail: cust@igi-global
Web site: igi-global
Copyright2018 by IGI Global.All rights reserved. No part of this publication may be
reproduced, stored or distributed in any form or by any means, electronic or mechanical, including
photocopying, without written permission from the publisher.
Product or company names used in this set are for identification purposes only. Inclusion of the
names of the products or companies does not indicate a claim of ownership by IGI Global of the
trademark or registered trademark.
Library of Congress Cataloging-in-Publication Data
British Cataloguing in Publication Data
A Cataloguing in Publication record for this book is available from the British Library.
All work contributed to this book is new, previously-unpublished material.
The views expressed in this book are those of the authors, but not necessarily of the publisher.
For electronic access to this publication, please contact: eresources@igi-global.
Names: Seetha, Hari, 1970- editor. | Murty, M. Narasimha, editor. | Tripathy,
B. K., 1957- editor.
Title: Modern technologies for big data classification and clustering / Hari
Seetha, M. Narasimha Murty, and B.K. Tripathy, editors.
Description: Hershey, PA : Information Science Reference, [2018]
Identifiers: LCCN 2017010783| ISBN 9781522528050 (hardcover) | ISBN
9781522528067 (ebook)
Subjects: LCSH: Big data. | Data mining. | Cluster analysis. |
Classification--Nonbook materials. | Document clustering.
Classification: LCC QA76.9.B45 M63 2018 | DDC 005.7--dc23 LC record available at https://lccn.
loc.gov/2017010783
This book is published in the IGI Global book series Advances in Data Mining and Database
Management (ADMDM) (ISSN: 2327-1981; eISSN: 2327-199X)
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 or
visit: igi-global/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, igi-global. 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 igi-global/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.。