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EAI/Springer Innovations in Communication and Computing

EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

BDCC 2018

Editors: Haldorai, A., Ramu, A., Mohanram, S., Onn, C.C. (Eds.)

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  • Contains proceedings from EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2018), 13 – 15 December 2018, Coimbatore, India
  • Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms
  • Includes contributions from researchers, academics, and professionals from around the world
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eBook $189.00
price for USA in USD (gross)
  • ISBN 978-3-030-19562-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-030-19561-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2018), took place on 13 – 15 December 2018 in Coimbatore, India.

About the authors

Dr. Anandakumar Haldorai, Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India. He has received his Master’s in Software Engineering from PSG College of Technology, Coimbatore and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 82 research papers in reputed International Journals and IEEE conferences. He has authored 7 books and many book chapters with reputed publishers such as Springer and IGI. He is editor of Inderscience IJISC and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, IET, ACM and EAI research group.

Dr. Arulmurugan Ramu is a Professor, Department of Computer Science and Engineering, Presidency University, Bangalore, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. Arulmurugan’s main research interest is in vision, particularly high-level visual recognition. In computer vision, Arulmurugan’s interests include image and video classification, understanding and retrieval. Some of the most recent work in his lab relates to fundamental technological problems related to large-scale data, machine learning and artificial intelligence. He is author of more than 25 papers in major computer vision and machine learning conferences and journals. From 2011 to 2015 he was researcher fellow at the Anna University. He is the recipient of the PhD degrees in Information and Communication Engineering from the Anna University at Chennai in 2015, M.Tech in Information Technology Anna University of Technology in 2009 respectively and of the B.Tech degree in Information Technology by the Aruani Engineering College in 2007.

Dr. Sudha Mohanram, has graduated from Government College of Engineering, Salem and has obtained her Masters in Engineering from Coimbatore Institute of Technology. She has completed her PhD in Electrical Engineering in Anna University Chennai in the year 2010. She started her teaching profession as a Lecturer in Government College of Technology, Coimbatore. She possesses 20 years of teaching experience. When she was about 13 years into teaching profession, her family founded Sri Eshwar College of Engineering in 2008. She has been playing the role of Secretary till 2011 and became the Principal of the institution in 2011. She has steered the institution to be one of the most sought after institutions in Coimbatore, within a short span of time through its laudable achievement in Academic excellence and Placement. She has published many papers in leading journals. She is a member of IEEE and EAI research group.

Dr. Chee-Onn Chow received his Bachelor of Engineering (Hons) and Master of Engineering Science degrees from University of Malaya, Malaysia in 1999 and 2001, respectively. He received his Doctorate of Engineering from the Tokai University, Japan in 2008. He joined the Department of Electrical Engineering as tutor in 1999, and subsequently been offered a lecturer position in 2001. He is currently an Associate Professor in the same department since 2015. His research interests include various issues related to wireless communications. He is a Chartered Engineer (IET, UK), a Professor Engineer (BEM, Malaysia) and a Senior Members of IEEE.​

Table of contents (40 chapters)

Table of contents (40 chapters)
  • Data Security in the Cloud via Artificial Intelligence with Vector Quantization for Image Compression

    Pages 3-8

    Gottapu, Srinivasa Kiran (et al.)

  • A Hybrid Ant–Fuzzy Approach for Data Clustering in a Distributed Environment

    Pages 9-16

    Sumangala, K. (et al.)

  • S-Transform-Based Efficient Copy-Move Forgery Detection Technique in Digital Images

    Pages 17-29

    Rajkumar, Rajeev (et al.)

  • Neuro-Fuzzy Ant Bee Colony Based Feature Selection for Cancer Classification

    Pages 31-40

    Nancy, S. Gilbert (et al.)

  • Entity Resolution for Maintaining Electronic Medical Record Using OYSTER

    Pages 41-50

    Gupta, Tanya (et al.)

Buy this book

eBook $189.00
price for USA in USD (gross)
  • ISBN 978-3-030-19562-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-030-19561-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
Book Subtitle
BDCC 2018
Editors
  • Anandakumar Haldorai
  • Arulmurugan Ramu
  • Sudha Mohanram
  • Chow Chee Onn
Series Title
EAI/Springer Innovations in Communication and Computing
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-19562-5
DOI
10.1007/978-3-030-19562-5
Hardcover ISBN
978-3-030-19561-8
Series ISSN
2522-8595
Edition Number
1
Number of Pages
XII, 412
Number of Illustrations
41 b/w illustrations, 130 illustrations in colour
Topics