Big Data Analytics

5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings

  • P. Krishna Reddy
  • Ashish Sureka
  • Sharma Chakravarthy
  • Subhash Bhalla
Conference proceedings BDA 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10721)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10721)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Big Data Analytics

    1. Front Matter
      Pages 1-1
    2. Krithi Ramamritham, Gopinath Karmakar, Prashant Shenoy
      Pages 3-14
    3. A. Mamatha, P. Krishna Reddy, Anirban Mondal, Seishi Ninomiya, G. Sreenivas
      Pages 40-58
  3. Information and Knowledge Management

    1. Front Matter
      Pages 69-69
    2. Ankur Garg, Varun Syal, Pankaj Gudlani, Dhaval Patel
      Pages 90-102
    3. T. S. Aswin, Rahul Ignatius, Mathangi Ramachandran
      Pages 103-112
    4. K. T. Sridhar
      Pages 113-125
  4. Mining of Massive Datasets

    1. Front Matter
      Pages 127-127
    2. Prashant Rajput, Durga Toshniwal, Apeksha Agggarwal
      Pages 129-143
    3. Amol P. Bhopale, Sowmya Kamath Shevgoor
      Pages 144-163
    4. Tanzima Hashem, Mohammed Eunus Ali
      Pages 164-178
  5. Computational Modeling

    1. Front Matter
      Pages 195-195
    2. Utpal Prasad, Nikky Kumari, Niloy Ganguly, Animesh Mukherjee
      Pages 197-214
    3. Vijaysekhar Chellaboina
      Pages 215-222
    4. Vikram Pudi, Pratibha Rani, Abhijit Mitra, Indira Ghosh
      Pages 223-234

About these proceedings


This book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017.

The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.


Artificial intelligence Big data Cluster analysis Clustering Data mining Databases HCI Learning algorithms Machine learning MapReduce algorithm Semantics Social networks Text classification User interfaces

Editors and affiliations

  • P. Krishna Reddy
    • 1
  • Ashish Sureka
    • 2
  • Sharma Chakravarthy
    • 3
  • Subhash Bhalla
    • 4
  1. 1.International Institute of Information TechnologyHyderabadIndia
  2. 2.Rajiv Gandhi Education CitySonepatIndia
  3. 3.University of Texas at ArlingtonArlingtonUSA
  4. 4.University of AizuAizu-WakamatsuJapan

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-72412-6
  • Online ISBN 978-3-319-72413-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
Industry Sectors
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment