Data Management, Analytics and Innovation

1. Front Matter

   Pages i-xii

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2. Data Management and Smart Informatics

   1. Front Matter

      Pages 1-1

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   2. Non-parametric Distance—A New Class Separability Measure

      • Sayoni Roychowdhury, Aditya Basak, Saptarsi Goswami

      Pages 3-19

   3. Digital Transformation of Information Resource Center of an Enterprise Using Analytical Services

      • Preeti Prasad Ramdasi, Aniket Kolee, Neha Sharma

      Pages 21-34

   4. Prediction of Stock Market Performance Based on Financial News Articles and Their Classification

      • Matthias Eck, Julian Germani, Neha Sharma, Jürgen Seitz, Preeti Prasad Ramdasi

      Pages 35-44

3. Big Data Management

   1. Front Matter

      Pages 45-45

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   2. Automatic Standardization of Data Based on Machine Learning and Natural Language Processing

      • Ananya Banerjee, Kavya SreeYella, Joy Mustafi

      Pages 47-54

   3. Analysis of GHI Forecasting Using Seasonal ARIMA

      • Aditya Kumar Barik, Sourav Malakar, Saptarsi Goswami, Bhaswati Ganguli, Sugata Sen Roy, Amlan Chakrabarti

      Pages 55-69

4. Artificial Intelligence and Data Analysis

   1. Front Matter

      Pages 71-71

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   2. Scoring Algorithm Identifying Anomalous Behavior in Enterprise Network

      • Sonam Sharma, Garima Makkar

      Pages 73-81

   3. Application of Bayesian Automated Hyperparameter Tuning on Classifiers Predicting Customer Retention in Banking Industry

      • Akash Sampurnanand Pandey, K. K. Shukla

      Pages 83-100

   4. Quantum Machine Learning: A Review and Current Status

      • Nimish Mishra, Manik Kapil, Hemant Rakesh, Amit Anand, Nilima Mishra, Aakash Warke et al.

      Pages 101-145

   5. Survey of Transfer Learning and a Case Study of Emotion Recognition Using Inductive Approach

      • Abhinand Poosarala, R Jayashree

      Pages 147-161

   6. An Efficient Algorithm for Complete Linkage Clustering with a Merging Threshold

      • Payel Banerjee, Amlan Chakrabarti, Tapas Kumar Ballabh

      Pages 163-178

   7. Analytics for In Silico Development of Inhibitors from Neem (Azadirachta Indica) Against Pantothenate Synthetase of Mycobacterium Tuberculosis

      • Saurov Mahanta, Bhaskarjyoti Gogoi, Bhaben Tanti

      Pages 179-200

   8. A Machine Learning Model for Forecasting Wind Disasters for Farmers

      • M. Iyyanar, M. Usha, C. Birundha, M. Anbuselvi, V. Haritha

      Pages 201-209

   9. Prediction of Most Valuable Bowlers of Indian Premier League (IPL)

      • Arnab Santra, Aniket Mitra, Abhirup Sinha, Amit Kumar Das

      Pages 211-223

   10. Categorizing Text Documents Using Naïve Bayes, SVM and Logistic Regression

       • Shubham Kumar, Anmol Gulati, Rachna Jain, Preeti Nagrath, Nitika Sharma

       Pages 225-235

   11. Machine Learning to Diagnose Common Diseases Based on Symptoms

       • Suvasree S. Biswal, T. Amarnath, Prasanta K. Panigrahi, Nrusingh C. Biswal

       Pages 237-245

   12. Efficacy of Oversampling Over Machine Learning Algorithms in Case of Sentiment Analysis

       • Deb Prakash Chatterjee, Sabyasachi Mukhopadhyay, Saptarsi Goswami, Prasanta K. Panigrahi

       Pages 247-260

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. 

• Data Exchange
• Data Management
• Agricultural Informatics
• Computational Economics
• Information Ecology
• Irrigation Informatics
• Neuroinformatics
• Big Data
• Big Data Analytics
• Artificial Intelligence
• Machine Learning
• Evolutionary Computation Techniques
• Mobile Robotics
• Speech Recognition
• Facial Detection
• Heuristic and Genetic Algorithms
• data structures

• Society for Data Science, Pune, India

  Neha Sharma

• A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

  Amlan Chakrabarti

• Department of Automatics and Applied Software, Faculty of Engineering, University of Arad, Arad, Romania

  Valentina Emilia Balas

• IT4Innovations, VSB-Technical University of Ostrava, Ostrava, Czech Republic

  Jan Martinovic

Neha Sharma is working with Tata Consultancy Services and is a Founder Secretary, Society for Data Science, India. She has previously served as Director of ZIBACAR, Pune, India. Holding a Ph.D. from the prestigious Indian Institute of Technology, Dhanbad, she is a senior IEEE member and Executive Body member of the IEEE Pune Section. She has received a “Best PhD Thesis Award” and “Best Paper Presenter at International Conference Award” at the National Level from the Computer Society of India. Her research interests include data mining, database design, artificial intelligence, big data, cloud computing, blockchain and data science.  


Amlan Chakrabarti is a Full Professor at the School of IT, University of Calcutta. He was a Postdoctoral Fellow at Princeton University, USA, from 2011 to 2012. With nearly 20 years of experience in Engineering Education and Research, he is a recipient of the prestigious DST BOYSCAST Fellowship Award in Engineering Science (2011), JSPS Invitation Research Award (2016), Erasmus Mundus Leaders Award from the EU (2017), and a Hamied Visiting Professorship from the University of Cambridge (2018). He is an Associate Editor of the Journal of Computers and Electrical Engineering, senior member of the IEEE and ACM, IEEE Computer Society Distinguished Visitor, Distinguished Speaker of the ACM, Secretary of the IEEE CEDA India Chapter and Vice President of the Data Science Society.  


Prof. Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software, “Aurel Vlaicu” University of Arad, Romania. The author of more than 300 research papers, her research interests include intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation. She is the Editor-in-Chief of the Inderscience journals IJAIP and IJCSysE. She is the Director of the Department of International Relations and Headof the Intelligent Systems Research Centre at Aurel Vlaicu University of Arad.  


Dr. Jan Martinovič is currently Head of the Advanced Data Analysis and Simulation Lab at IT4Innovations National Supercomputing Center, VSB-TUO, Czech Republic. His research activities focus on HCP, cloud and big data convergence, HPC-as-a-Service, traffic management and data analysis. He is the coordinator of the H2020 ICT EU-funded project LEXIS (www.lexis-project.eu). He has previously coordinated contracted research activities with international and national companies and been involved in the H2020 projects ANTAREX and ExCAPE. He has been a HiPEAC member since January 2020. 

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