Data Analytics and Management

1. Front Matter

   Pages i-xxiv

   PDF

2. A Forecasting-Based DLP Approach for Data Security

   • Kishu Gupta, Ashwani Kush

   Pages 1-8

3. Detection of Anterior Cruciate Ligament Tear Using Deep Learning and Machine Learning Techniques

   • Vansh Kapoor, Nakul Tyagi, Bhumika Manocha, Ansh Arora, Shivangi Roy, Preeti Nagrath

   Pages 9-22

4. A Study on Image Analysis and Recognition Using Learning Methods: CNN as the Best Image Learner

   • Vidushi, Manisha Agarwal

   Pages 23-30

5. ANN Model for Forest Cover Classification

   • Ayush Chauhan, Deepali Kamthania

   Pages 31-39

6. An Approach to Detect Sarcasm in Tweets

   • Jyoti Godara, Rajni Aron

   Pages 41-50

7. A Trust-Based Approach to Extract Social Relationships for Recommendation

   • Jyoti Shokeen, Chhavi Rana, Poonam Rani

   Pages 51-58

8. A Green 6G Network Era: Architecture and Propitious Technologies

   • Sukriti Goyal, Nikhil Sharma, Ila Kaushik, Bharat Bhushan, Nitin Kumar

   Pages 59-75

9. Onion Price Prediction for the Market of Kayamkulam

   • Anubha, Kaustubh Tripathi, Kshitiz Kumar, Gopesh Khandelwal

   Pages 77-85

10. A Technical Review Report on Deep Learning Approach for Skin Cancer Detection and Segmentation

    • Keerthana Duggani, Malaya Kumar Nath

    Pages 87-99

11. A Secure Epidemic Routing Using Blockchain in Opportunistic Internet of Things

    • Poonam Rani, Pushpinder Pal Singh, Arnav Balyan, Jyoti Shokeen, Vibha Jain, Devesh Sangwan

    Pages 101-110

12. Improved MAC Design-based Dynamic Duty Cycle for Vehicular Communications over M2M System

    • Mariyam Ouaissa, Mariya Ouaissa, Meriem Houmer, Abdallah Rhattoy

    Pages 111-120

13. Ruggedizing LTE Security Using Hybridization of AES and RSA to Provide Double Layer Security

    • Anu Ahlawat, Vikas Nandal

    Pages 121-135

14. Performance Evaluation of Merging Techniques for Handling Small Size Files in HDFS

    • Vijay Shankar Sharma, N. C. Barwar

    Pages 137-150

15. Analysis, Visualization and Forecasting of COVID-19 Outbreak Using LSTM Model

    • Suhas Harbola, Priyanka Jain, Deepak Gupta

    Pages 151-164

16. Virtual Machine Replication in the Cloud Computing System Using Fuzzy Inference System

    • Priti Kumari, Parmeet Kaur

    Pages 165-174

17. A Dimensional Representation of Depressive Text

    • Tara Rawat, Shikha Jain

    Pages 175-187

18. Machine Learning Algorithms to Predict Potential Dropout in High School

    • Vaibhav Singh Makhloga, Kartikay Raheja, Rishabh Jain, Orijit Bhattacharya

    Pages 189-201

19. Explaining Deep Learning-Based Classification of Textual Tweets

    • Diksha Malhotra, Poonam Saini, Awadhesh Kumar Singh

    Pages 203-211

20. Effect of Quality of Existing Concrete Structures in Ajdabia Region, Libya

    • Moustafa Abdulrahim Mohamed, Aslam Amirahmad

    Pages 213-227

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

• Data Analytics
• Data Management
• Big Data
• Computational Intelligence
• Deep Learning
• Machine Learning
• ICDAM 2020
• ICDAM Proceedings

• Maharaja Agrasen Institute of Technology, New Delhi, India

  Ashish Khanna, Deepak Gupta

• Jan Wyzykowski University, Polkowice, Poland

  Zdzisław Pólkowski

• CHRIST (Deemed to be University), Bengaluru, India

  Siddhartha Bhattacharyya

• Tijuana Institute of Technology, Tijuana, Mexico

  Oscar Castillo

Dr. Ashish Khanna has expertise in Teaching, Entrepreneurship, and Research & Development of 16 years. He received his Ph.D. degree from National Institute of Technology, Kurukshetra, in March 2017. He has completed his M.Tech. and B.Tech. from GGSIPU, Delhi. He has completed his PDF from the Internet of Things Lab at Inatel, Brazil. He has around 100 research papers along with book chapters including more than 40 papers in SCI Indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited 19 books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/ Guest Editor, and many more positions in various conferences and journals. His research interest includes image processing, distributed systems and its variants, and machine learning. He is currently working at the CSE, Maharaja Agrasen Institute of Technology, Delhi. He is Convener and Organizer of ICICC Springer conference series. 
 
Dr. Deepak Gupta is an eminent academician and plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, Ph.D. and postdoctorate supervision, etc. With 12 years of rich expertise in teaching and two years in industry, he focuses on rational and practical learning. He has contributed massive literature in the fields of–computer interaction, intelligent data analysis, nature-inspired computing, machine learning, and soft computing. He is working as an Assistant Professor at Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India. He has served as Editor-in-Chief, Guest Editor, and Associate Editor in SCI and various other reputed journals. He has authored/edited 33 books with national/international level publisher (Elsevier, Springer, Wiley, Katson). He has published 96 scientific research publications in reputed international journals and conferences including 46 SCI IndexedJournals of IEEE, Elsevier, Springer, Wiley, and many more. 
 
Dr. Zdzisław Pólkowski is an Adjunct Professor at Faculty of Technical Sciences at the Jan Wyzykowski University, Poland. He is also the Rector's Representative for International Cooperation and Erasmus Programme and Former Dean of the Technical Sciences Faculty during the period of 2009–2012. His area of research includes management information systems, business informatics, IT in business and administration, IT security, small medium enterprises, CC, IoT, big data, business intelligence, and block chain. He has published around 60 research articles. He has served the research community in the capacity of Author, Professor, Reviewer, Keynote Speaker, and Co-Editor. He has attended several international conferences in the various parts of the world.  He is also playing the role Principal Investigator.
 
Dr. Siddhartha Bhattacharyya [FIEI, FIETE, LFOSI, SMIEEE, SMACM, SMIETI, LMCSI, LMISTE, MIET (UK), MIAENG, MIRSS, MIAASSE, MCSTA, MIDES, MISSIP, MSDIWC] is currently the Principal of RCC Institute of Information Technology, Kolkata, India. In addition, he is also serving as the Professor of Computer Application and Dean (Research and Development and Academic Affairs) of the institute. He is the recipient of several coveted awards like Adarsh Vidya Saraswati Rashtriya Puraskar, Distinguished HoD Award, Distinguished Professor Award, Bhartiya Shiksha Ratan Award, Best Faculty for Research, and Rashtriya Shiksha Gaurav Puraskar. He received the Honorary Doctorate Award (D. Litt.) from The University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He has been appointed as the ACM Distinguished Speaker for the tenure 2018–2020. He is a co-author of 4 books and the co-editor of 16 books and has more than 200 research publications in international journals and conference proceedings to his credit.
 
Dr. Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation “Soft Computing and Fractal Theory for Intelligent Manufacturing”). He is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. Currently, he is President of HAFSA (Hispanic American Fuzzy Systems Association) and Past President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). His research interests are in Type-2 Fuzzy Logic, Fuzzy Control, Neuro-Fuzzy, and Genetic-Fuzzy hybrid approaches. He has published over 300 journal papers, 10 authored books, 40 edited books, 200 papers in conference proceedings, and more than 300 chapters in edited books, in total 865 publications according to Scopus (H index=60), and more than 1000 publications according to Research Gate(H index=72 in Google Scholar).

Policies and ethics