© 2019

Big Data Analytics

7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings

  • Sanjay Madria
  • Philippe Fournier-Viger
  • Sanjay Chaudhary
  • P. Krishna Reddy
Conference proceedings BDA 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11932)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11932)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Big Data Analytics: Vision and Perspectives

    1. Front Matter
      Pages 1-1
    2. Selma Khouri, Nabila Berkani, Ladjel Bellatreche, Dihia Lanasri
      Pages 44-64
  3. Search and Information Extraction

    1. Front Matter
      Pages 65-65
    2. Rashmi P. Sarode, Shelly Sachdeva, Wanming Chu, Subhash Bhalla
      Pages 88-107
    3. Meghna Chaudhary, Ravi Sharma, Sriram Chellappan
      Pages 108-123
    4. Rajeev Gupta, Ranganath Kondapally, Siddharth Guha
      Pages 124-139
  4. Predictive Analytics in Medical and Agricultural Domains

    1. Front Matter
      Pages 157-157
    2. Samantha Detor, Abigail Roh, Yiqun Xie, Shashi Shekhar
      Pages 176-192
    3. Swapnil Shrivastava, Supriya N. Pal, Ranjeet Walia
      Pages 193-205
  5. Graph Analytics

    1. Front Matter
      Pages 207-207
    2. Philippe Fournier-Viger, Chao Cheng, Jerry Chun-Wei Lin, Unil Yun, R. Uday Kiran
      Pages 209-226
    3. Sharma Chakravarthy, Abhishek Santra, Kanthi Sannappa Komar
      Pages 227-244
    4. Moumita Chatterjee, Anirban Mitra, Sudipta Roy, Somasis Roy, Hirav Shah, Sanjit Kr. Setua
      Pages 245-264

About these proceedings


This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019.

The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.


artificial intelligence big data computer vision data analytics data mining databases deep learning digital storage hci human-computer interaction image processing information management information systems information technology machine learning neural networks

Editors and affiliations

  1. 1.Missouri University of Science and TechnologyRollaUSA
  2. 2.Harbin Institute of TechnologyShenzhenChina
  3. 3.Ahmedabad UniversityAhmedabadIndia
  4. 4.International Institute of Information TechnologyHyderabadIndia

Bibliographic information

Industry Sectors
IT & Software
Consumer Packaged Goods
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences