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ICDSMLA 2019

Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Amit Kumar

    1. BioAxis DNA Research Centre Private Ltd, Hyderabad, India

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  2. Marcin Paprzycki

    1. Polish Academy of Science, Systems Research Institute, Warsaw, Poland

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    You can also search for this editor in PubMed   Google Scholar

  3. Vinit Kumar Gunjan

    1. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

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    You can also search for this editor in PubMed   Google Scholar

  • Highlights recent advances in Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction, and Data Science
  • Discusses the applications of new emerging technologies for professionals and researchers alike
  • Includes selected articles from the 1st International Conference on Data Science & Machine Learning 2019

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 601)

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Table of contents (203 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Intrusion Detection System Using Soft Computing Techniques: A Review

    • Pooja Agarwal
    Pages 1-12

  3. Machine Learning Based Outlook for the Analysis of SNP-SNP Interaction for Biomedical Big Data

    • Nadeem Ahmad, Almas Jabeen, Khalid Raza
    Pages 13-22

  4. A Compendium on Network and Host Based Intrusion Detection Systems

    • K. Rahul-Vigneswaran, Prabaharan Poornachandran, KP Soman
    Pages 23-30

  5. Performance Evaluation of Stochastic Gammatone Filters

    • N. Nikhitha, G. L. Sumalata, Ch. Pratyusha Chowdari
    Pages 31-41

  6. Optimization of Multi-way Join Cost Using System R* and SharesSkew

    • Chittem Leela Krishna, Poli Venkata Subba Reddy
    Pages 42-50

  7. Study of K-Means Clustering Algorithm for Identification of Dengue Fever Hotspots

    • Nikhita Siringi, Shuchi Mala, Ashok Rawat
    Pages 51-61

  8. WhatsApp: A Business Tool in Unorganized Retail with Reference to TAM

    • Md. Faiz Ahmad, Md. Rashid Farooqi
    Pages 62-73

  9. A Framework for the RNA-Seq Based Classification and Prediction of Disease

    • Naiyar Iqbal, Pradeep Kumar
    Pages 74-81

  10. Bio-inspired AI Optimization Techniques to Evaluate Data Rate and Minimize Interference in Cognitive Cellular Network

    • Sharada N. Ohatkar, Dattatraya S. Bormane
    Pages 82-89

  11. Reduction of PAPR in OFDM Signals Using Grey Wolf Optimization Combined with SLM

    • Reddi Sridevi, T. Madhavi
    Pages 90-99

  12. Idiom Recommendation Using POS Tagging and Sentence Parsing

    • Nikhil Anand
    Pages 100-109

  13. Indian and European Script Identification: A Review

    • Aditi R. Gaygole, Dinesh V. Rojatkar
    Pages 110-116

  14. Analysis of Iris Identification System by Using Hybrid Based PSO Classifier

    • Aparna Gale, Suresh Salankar
    Pages 117-130

  15. A Review on Handwritten Indian Script Identification

    • Lalit P. Ganorkar, Dinesh V. Rojatkar
    Pages 131-138

  16. Intelligent Medicine Box for Medication Management Using Internet-of Things

    • Aishwarya Jagtap, Akshay Chougule, Seema Pujari, Arati Khamkar, Gurunath Machhale
    Pages 139-143

  17. A Novel Approach of Object Oriented Image Steganography Using LSB

    • Archana O. Vyas, Sanjay V. Dudul
    Pages 144-151

  18. Power-Cognizant Proactive Routing Protocol for Amending Energy in Ad-hoc Networks

    • B. Devika, P. N. Sudha
    Pages 152-159

  19. Dimensional Insight to Innovations in Security Aspects of Cloud Computing

    • C. V. Manjushree, A. N. Nandakumar
    Pages 160-171

  20. Classification and Validation of MRI Brain Tumor Using Optimised Machine Learning Approach

    • Prabhpreet Kaur, Gurvinder Singh, Parminder Kaur
    Pages 172-189
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Keywords

About this book

This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Editors and Affiliations

  • BioAxis DNA Research Centre Private Ltd, Hyderabad, India

    Amit Kumar

  • Polish Academy of Science, Systems Research Institute, Warsaw, Poland

    Marcin Paprzycki

  • Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

    Vinit Kumar Gunjan

About the editors

Amit is passionate Forensic Scientist, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005 he founded first Private DNA Testing Company BioAxis DNA Research Centre (P) Ltd in Hyderabad, India with an US Collaborator. He has vast experience of training 1000+ Crime investigation officers and helped 750+ Criminal and non-criminal cases to reach justice by offering analytical services in his laboratory. His group also works extensively on Genetic Predisposition risk studies of cancers and has been helping many cancer patients from 2012 to fight and win the battle against cancer. Amit is member of IEEE Strategy Development and Environmental Assessment committee (SDEA) of IEEEMGA. He is senior member of IEEE and has been a very active IEEE Volunteer. With experience at Section, Council, Region and IEEE MGA levels in several capacities he has driven number of IEEE Conferences, Conference leadership programs, Entrepreneurship development workshops, Innovation and Internshiprelated trainings. Dr. Kumar is also a Professor at SJB Research Foundation, SJB Institute of Technology, Bengaluru, Karnataka and Series Editor of Springer Briefs on Forensic and Medical Bioinformatics (FMB).


Marcin Paprzycki is an Associate Professor at the Systems Research Institute, Polish Academy of Sciences. He holds an M.S. from Adam Mickiewicz University in Poznań, Poland, a Ph.D. from Southern Methodist University in Dallas, Texas, and a Doctor of Science from the Bulgarian Academy of Sciences. He is a senior member of the IEEE, a senior member of the ACM, a Senior Fulbright Lecturer, and an IEEE CS Distinguished Visitor. He has contributed to more than 450 publications and was invited to the program committees of over 500 international conferences. He serves on the editorial boards of 12 journals and one book series.


Dr. Vinit Kumar Gunjan is an Associate Professor in Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher; published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. Awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. Senior Member of IEEE, An active Volunteer of IEEE Hyderabad section; volunteered in the capacity of Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. Was involved as organizer in many technical & non-technical workshops, seminars & conferences of IEEE & Springer. During the tenure I had an honour of working with top leaders of IEEE and awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.

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