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Big Data Analytics

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Sanjay Madria

    1. Missouri University of Science and Technology, Rolla, USA

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  2. Philippe Fournier-Viger

    1. Harbin Institute of Technology, Shenzhen, China

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  3. Sanjay Chaudhary

    1. Ahmedabad University, Ahmedabad, India

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  4. P. Krishna Reddy

    1. International Institute of Information Technology, Hyderabad, India

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

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: BDA 2019.

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Table of contents (25 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Transforming Sensing Data into Smart Data for Smart Sustainable Cities

      • Koji Zettsu
      Pages 3-19

    3. Deep Learning Models for Medical Image Analysis: Challenges and Future Directions

      • R. K. Agrawal, Akanksha Juneja
      Pages 20-32

    4. Recent Advances and Challenges in Design of Non-goal-Oriented Dialogue Systems

      • Akanksha Mehndiratta, Krishna Asawa
      Pages 33-43

    5. Data Cube Is Dead, Long Life to Data Cube in the Age of Web Data

      • Selma Khouri, Nabila Berkani, Ladjel Bellatreche, Dihia Lanasri
      Pages 44-64

  3. Search and Information Extraction

    1. Front Matter

      Pages 65-65
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    2. Improving Result Diversity Using Query Term Proximity in Exploratory Search

      • Vikram Singh, Mayank Dave
      Pages 67-87

    3. Segment-Search vs Knowledge Graphs: Making a Key-Word Search Engine for Web Documents

      • Rashmi P. Sarode, Shelly Sachdeva, Wanming Chu, Subhash Bhalla
      Pages 88-107

    4. Pairing Users in Social Media via Processing Meta-data from Conversational Files

      • Meghna Chaudhary, Ravi Sharma, Sriram Chellappan
      Pages 108-123

    5. Large-Scale Information Extraction from Emails with Data Constraints

      • Rajeev Gupta, Ranganath Kondapally, Siddharth Guha
      Pages 124-139

    6. Comparative Analysis of Rule-Based, Dictionary-Based and Hybrid Stemmers for Gujarati Language

      • Nakul R. Dave, Mayuri A. Mehta
      Pages 140-155

  4. Predictive Analytics in Medical and Agricultural Domains

    1. Front Matter

      Pages 157-157
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    2. Suśruta: Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps for Diagnosis and Differentiation of Anemias with Higher Accuracy at Resource Constrained Point-of-Care Settings

      • Shubham Yadav, Sakthi Ganesh, Debanjan Das, U. Venkanna, Rajarshi Mahapatra, Ankur Kumar Shrivastava et al.
      Pages 159-175

    3. Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification

      • Samantha Detor, Abigail Roh, Yiqun Xie, Shashi Shekhar
      Pages 176-192

    4. Market Intelligence for Agricultural Commodities Using Forecasting and Deep Learning Techniques

      • Swapnil Shrivastava, Supriya N. Pal, Ranjeet Walia
      Pages 193-205

  5. Graph Analytics

    1. Front Matter

      Pages 207-207
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    2. TKG: Efficient Mining of Top-K Frequent Subgraphs

      • Philippe Fournier-Viger, Chao Cheng, Jerry Chun-Wei Lin, Unil Yun, R. Uday Kiran
      Pages 209-226

    3. Why Multilayer Networks Instead of Simple Graphs? Modeling Effectiveness and Analysis Flexibility and Efficiency!

      • Sharma Chakravarthy, Abhishek Santra, Kanthi Sannappa Komar
      Pages 227-244

    4. Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks

      • Moumita Chatterjee, Anirban Mitra, Sudipta Roy, Somasis Roy, Hirav Shah, Sanjit Kr. Setua
      Pages 245-264
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Keywords

About this book

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.

Editors and Affiliations

  • Missouri University of Science and Technology, Rolla, USA

    Sanjay Madria

  • Harbin Institute of Technology, Shenzhen, China

    Philippe Fournier-Viger

  • Ahmedabad University, Ahmedabad, India

    Sanjay Chaudhary

  • International Institute of Information Technology, Hyderabad, India

    P. Krishna Reddy

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