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Advances in Data Science and Management

Proceedings of ICDSM 2019

  • Samarjeet Borah
  • Valentina Emilia Balas
  • Zdzislaw Polkowski
Conference proceedings

Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 37)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Data Mining and Machine Learning Applications

    1. Front Matter
      Pages 1-1
    2. Aishwaryarani Behera, Shrayas Das, Abhishek Ray
      Pages 21-31
    3. Ramesh Dharavath, G. MadhukarRao, Himanshu Khurana, Damodar Reddy Edla
      Pages 33-43
    4. Kailash Hambarde, Gökhan Silahtaroğlu, Santosh Khamitkar, Parag Bhalchandra, Husen Shaikh, Pritam Tamsekar et al.
      Pages 45-50
    5. Aurea T. B. Santos, Jonatã Paulino, Marcelino S. Silva, Liviane Rego
      Pages 51-65
    6. Ganesh Prasad Khuntia, Ritesh Dash, Sarat Chandra Swain, Prashant Bawaney
      Pages 81-90
    7. Mishra Anil Kumar, Mishra Ashis Kumar, Mohapatra Yogomaya, Mishra Sambit Kumar
      Pages 91-98
    8. Sunakshi Mamgain, Rakesh C. Balabantaray, Ajit K. Das, Srikant Kumar
      Pages 99-108
    9. Pabitrananda Patnaik, Subhashree Pattnaik, Pratibha Singh
      Pages 109-122
    10. Rajendra Kumar Behera, Sunil Kumar Dhal
      Pages 123-135
    11. Pratik Gajanan Mante, Harsh Rajendra Oswal, Debabrata Swain, Deepali Deshpande
      Pages 137-148
    12. G. Madhukar Rao, T. Ravi Kumar, A. Rajashekar reddy
      Pages 149-157
    13. G. Ravi Kumar, K. Nagamani, G. Anjan Babu
      Pages 173-180
    14. M. Sree Devi, Vempalli Rahamathulla
      Pages 181-187
    15. Sreenivas Sremath Tirumala
      Pages 189-200
    16. Niva Mohapatra, K. Shreya, Ayes Chinmay
      Pages 201-208
    17. G. Ameer Basha, K. Lakshmana Gupta, K. Ramakrishna
      Pages 209-214
  3. Data Analysis in Cloud Environment

    1. Front Matter
      Pages 223-223
    2. Mishra Jyoti Prakash, Prasad Suman Sourav, Mishra Sambit Kumar
      Pages 225-233
    3. Sai Yeshwanth Chaganti, Ipseeta Nanda, Koteswara Rao Pandi
      Pages 235-245
    4. Prasanta Kumar Mahapatra, Alok Ranjan Tripathy, Alakananda Tripathy, Biraja Mishra
      Pages 247-256
    5. Patra Prakash Chandra, Mohanty Anita, Mishra Sambit Kumar
      Pages 257-262
    6. Ananya Srivastava, Aboli Khare, Priyaranjan Satapathy, Ayes Chinmay
      Pages 263-272
    7. Ratnakumari Challa
      Pages 273-281
    8. K. P. Swain, S. K. Nayak, G. Palai, Partha Sarkar
      Pages 283-288
    9. Subha Ranjan Das, K. P. Swain, G. Palai, Sudhakar Sahu
      Pages 289-294
    10. Zdzislaw Polkowski, Malgorzata Nycz-Lukaszewska, Wojciech Grzelak
      Pages 295-305
    11. Zdzislaw Polkowski, Malgorzata Nycz-Lukaszewska
      Pages 307-320
  4. Data Analysis in Network and Communication Systems

    1. Front Matter
      Pages 321-321
    2. Seli Mohapatra, B. K. Ratha, Kshirabdhi Tanaya Dhal
      Pages 345-354
    3. Chinmayee Panda, K. Pitambar Patra, Asutosh Padhy, Urmila Bhanja
      Pages 355-361
  5. Image and Binary Data Analysis

    1. Front Matter
      Pages 373-373
    2. Varsha Patil, Rajesh Kadu, Tanuja Sarode
      Pages 375-385
    3. Shaikh Husen, Santosh Khamitkar, Parag Bhalchandra, Preetam Tamsekar, Govind Kulkarni, Kailas Hambarde
      Pages 387-394
    4. Manan Sharma, Rishabh Baghel
      Pages 411-420
    5. Vivek Kumar, Brojo Kishore Mishra, Manuel Mazzara, Dang N. H. Thanh, Abhishek Verma
      Pages 435-442
    6. Sushma Pulidindi, K. Kamakshaiah, Sagar Yeruva
      Pages 443-450
  6. Modelling and Simulation Based Data Analysis

    1. Front Matter
      Pages 451-451
    2. Sudhanshu Bhushan Panda, Narayan Chandra Nayak, Antaryami Mishra
      Pages 453-461
    3. Ipseeta Nanda, Nibedita Adhikari
      Pages 463-477

About these proceedings

Introduction

This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.

Keywords

ICDSM 2019 Data Science Data Management Machine Learning Data Mining Data Analytics Knowledge Discovery in Data

Editors and affiliations

  • Samarjeet Borah
    • 1
  • Valentina Emilia Balas
    • 2
  • Zdzislaw Polkowski
    • 3
  1. 1.Department of Computer ApplicationSMIT, Sikkim Manipal UniversitySikkimIndia
  2. 2.Department of Automatics and Applied Software at the Faculty of EngineeringAurel Vlaicu University of AradAradRomania
  3. 3.Faculty of Technical SciencesJan Wyzykowski UniversityPolkowicePoland

Bibliographic information