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  • Conference proceedings
  • © 2019

Emerging Technologies in Data Mining and Information Security

Proceedings of IEMIS 2018, Volume 2

  • Comprises original research work by academics, scientists, and research scholars as well as professionals, decision makers, and industrial practitioners
  • Inspires young scholars to discover newly created avenues of research
  • Presents the hidden aspects of data science in the context of the successful “Make in India” project

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 813)

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Table of contents (77 papers)

  1. Front Matter

    Pages i-xxx
  2. Data Analytics

    1. Front Matter

      Pages 1-1
    2. Sentiment Analysis of Tweet Data: The Study of Sentimental State of Human from Tweet Text

      • S. M. Mazharul Hoque Chowdhury, Priyanka Ghosh, Sheikh Abujar, Most. Arina Afrin, Syed Akhter Hossain
      Pages 3-14
    3. Exploring Student Migration in Rural Region of Bangladesh

      • Arafat Bin Hossain, Sakibul Mowla, Sheikh Nabil Mohammad, Md. R. Amin
      Pages 25-36
    4. Analysis on Lightning News and Correlation with Lightning Imaging Sensor (LIS) Data

      • Sunny Chowdhury, K. M. Sajjadul Islam, Sheikh Nabil Mohammad, Md. R. Amin, Choudhury Wahid
      Pages 37-47
    5. Design of Business Canvas Model for Social Media

      • Jan Hruska, Petra Maresova
      Pages 63-69
    6. Horticultural Approach for Detection, Categorization and Enumeration of On Plant Oval Shaped Fruits

      • Santi Kumari Behera, Junali Jasmine Jena, Amiya Kumar Rath, Prabira Kumar Sethy
      Pages 71-84
    7. A Novel Deterministic Framework for Non-probabilistic Recommender Systems

      • Avinash Bhat, Divya Madhav Kamath, C. Anitha
      Pages 85-97
    8. EEG Signal Analysis Using Different Clustering Techniques

      • Chinmaya Kumar Pradhan, Shariar Rahaman, Md. Abdul Alim Sheikh, Alok Kole, Tanmoy Maity
      Pages 99-105
    9. Automatic Geospatial Objects Classification from Satellite Images

      • Shariar Rahaman, Md. Abdul Alim Sheikh, Alok Kole, Tanmoy Maity, Chinmaya Kumar Pradhan
      Pages 107-117
    10. RAiTA: Recommending Accepted Answer Using Textual Metadata

      • Md. Mofijul Islam, Sk. Shariful Islam Arafat, Md. Shakil Hossain, Md. Mahmudur Rahman, Md. Mahmudul Hasan, S. M. Al-Hossain Imam et al.
      Pages 119-131
    11. LIUBoost: Locality Informed Under-Boosting for Imbalanced Data Classification

      • Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid
      Pages 133-144
    12. Improving Quality of Fruits Picked in Orchards Using Mahalanobis Distance Based Model

      • Kalaivanan Sandamurthy, Kalpana Ramanujam
      Pages 155-164
    13. Viable Crop Prediction Scenario in BigData Using a Novel Approach

      • Shriya Sahu, Meenu Chawla, Nilay Khare
      Pages 165-177
    14. A Graph Based Approach on Extractive Summarization

      • Madhurima Dutta, Ajit Kumar Das, Chirantana Mallick, Apurba Sarkar, Asit K. Das
      Pages 179-187
    15. Targeted Marketing and Market Share Analysis on POS Payment Data Using DW and OLAP

      • Giridhar Maji, Lalmohan Dutta, Soumya Sen
      Pages 189-199
    16. Promises and Challenges of Big Data in a Data-Driven World

      • Sonali Mukherjee, Manoj Kumar Mishra, Bhabani Shankar Prasad Mishra
      Pages 201-211

About this book

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.

Editors and Affiliations

  • Machine Intelligence Research Labs, Auburn, USA

    Ajith Abraham

  • Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, India

    Paramartha Dutta

  • Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

  • Institute of Engineering and Management, Kolkata, India

    Abhishek Bhattacharya, Soumi Dutta

About the editors

Dr. Abraham is the founding Director of Machine Intelligence Research Labs (MIR Labs), a not-for-profit scientific network for innovation and research excellence connecting industry and academia. Dr. Abraham works in a multi-disciplinary environment involving machine intelligence, cyber-physical systems, IoT, data mining and applied to various real-world problems. He is an author / co-author of more than 1,300 research publications, including over 100 books covering various aspects of computer science. He has more than 29,000 academic citations (h-index of 80). Currently Dr. Abraham is the editor-in-chief of EAAI. He received his Ph.D. degree in Computer Science from Monash University, Melbourne, Australia (2001) and a Master of Science degree from NTU, Singapore.

Dr. Paramartha Dutta has a B.Stat. (Hons.) (ISI, Calcutta), M.Stat. (ISI, Calcutta), M.Tech. (Computer Science) (ISI, Calcutta) and Ph.D. (Engineering) (IIEST, Shibpur), SMIEEE, SMACM, SMIACSIT,FIETE, FIE, FOSI, LMISTE, LMIUPRAI, LMISCA. He has over twenty-five years of academic experience and is currently a Professor at the Department of Computer and System Sciences, Visva Bharati University, India. He has coauthored eight books and published seven edited books and more than two hundred papers in various journals and conference proceedings, both international and national as well as several book chapters. Dr. Dutta has served as guest editor of special volumes of international journals published by Elsevier, Springer etc.

Jyotsna Kumar Mandal is a Professor of Computer Science and Engineering, University of Kalyani, India. He is an ex-Dean of the Faculty of Engineering, Technology & Management and has 30 years of teaching and research experience. He is a life member of CSI and CRSI, Fellow of IETE, and member of AIRCC, IEEE and ACM. His research interests include network security, steganography, remote sensing & GIS application, image processing, and wireless and sensor networks. He has been associated with national and international journals and conferences. His more than 380 publications include 154 in various international journals. Currently, he is Director, IQAC, Chairman Placement Cell and CIRM.

Abhishek Bhattacharya is an Assistant Professor at the Computer Application Department at the Institute of Engineering & Management, India. He has published three books, 20 technical papers in various peer-reviewed journals and conference proceedings, both international and national as well as book chapters. His areas of research are data mining, network security, mobile computing and distributed computing. He is a member of IACSIT, UACEE, IAENG, ISOC, SDIWC and ICSES; TPC member of CICBA 2017, CSI 2017, FTNCT-2018, ICIoTCT 2018, ICCIDS 2018 and ICICC-2018; and Advisory Board Member of ISETIST 2017.

Soumi Dutta is an Assistant Professor at the Institute of Engineering & Management, India. She is pursuing her Ph.D. at the Department of Computer Science & Technology, IIEST, Shibpur. She received her B.Tech. in Information Technology and her M.Tech. in CSE securing 1st position(Gold medalist), both from TIG, India. Her research interests include social network analysis, data mining and information retrieval. She is a member of several technical functional bodies such as MACUL, SDIWC, ISOC, and ICSES. She has published several papers in respected journals and conferences.

 

 

 


Bibliographic Information

Buy it now

Buying options

eBook USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access