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Modern Technologies for Big Data Classification and Clustering
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Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.
Modern Technologies for
Big Data Classification
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
Information Science Reference (an imprint of IGI Global)
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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, 
Identifiers: LCCN 2017010783| ISBN 9781522528050 (hardcover) | ISBN
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.
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
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Data Visualization and Statistical Literacy for Open and Big Data
Theodosia Prodromou (University of New England, Australia)
Information Science Reference • ©2017 • 365pp • H/C (ISBN: 9781522525127) • US $205.00
Web Semantics for Textual and Visual Information Retrieval
Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India) Nilanjan Dey (Techno India
College of Technology, India) Amira S. Ashour (Tanta University, Egypt & Taif University,
Saudi Arabia) and V. Santhi (VIT University, India)
Information Science Reference • ©2017 • 290pp • H/C (ISBN: 9781522524830) • US $185.00
Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications
Narendra Kumar Kamila (C.V. Raman College of Engineering, India)
Information Science Reference • ©2017 • 430pp • H/C (ISBN: 9781522520139) • US $210.00
Web Data Mining and the Development of Knowledge-Based Decision Support Systems
G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)
Information Science Reference • ©2017 • 409pp • H/C (ISBN: 9781522518778) • US $165.00
Intelligent Multidimensional Data Clustering and Analysis
Siddhartha Bhattacharyya (RCC Institute of Information Technology, India) Sourav De (Cooch
Behar Government Engineering College, India) Indrajit Pan (RCC Institute of Information
Technology, India) and Paramartha Dutta (Visva-Bharati University, India)
Information Science Reference • ©2017 • 450pp • H/C (ISBN: 9781522517764) • US $210.00
Emerging Trends in the Development and Application of Composite Indicators
Veljko Jeremic (University of Belgrade, Serbia) Zoran Radojicic (University of Belgrade,
Serbia) and Marina Dobrota (University of Belgrade, Serbia)
Information Science Reference • ©2017 • 402pp • H/C (ISBN: 9781522507147) • US $205.00
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