BIG DATA 2018 - Special Issue On: Machine Learning for Internet of Things and Big Data

Special Issue On: Machine Learning for Internet of Things and Big Data
Submission Due Date
12/20/2017
Guest Editors
Chintan Bhatt
Dmitry Korzun
Soumya Banerjee
Introduction
By 2025, the overall size of digital knowledge generated by social networks, sensors, medical imaging and simulation devices, can reach up to Zettabytes. We are now in era of “big data”. This kind of “big” knowledge, along with the advances in information and communication technologies like Web of Things (IoT), connected sensible objects, wearable technology, pervasive computing, is remodeling each facet of contemporary life and conveyance nice challenges and spectacular opportunities to meet our dream of a property sensible society.
Objective
This issue aims to supply a platform and forum to debate and report current progressive, new solutions, future directions to handle challenges, problems and success stories on a way to harness potential advances within the digital space to boost people’s life (e.g. big data, IoT, mobile/ present computing), and the way to maximize the employment of huge processing and knowledge analytics to understand the sensible society.
Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
Machine Learning Techniques and algorithms for Big Data and IoT
Data mining, statistical modeling and machine learning for data management
Analytics and machine learning applications to security and privacy
Machine Learning as-a-service
Machine learning and prediction of context awareness with Big Data and IoT
Big Data applications such as analytics for the Internet-of-Things (IoT), online web analytics, smart grid analytics etc.
Deep Learning in Big Data and IoT
Edge/Fog Analytics
Advanced collaboration techniques and scaling issues
Emerging standards for organizations and international projects
Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Machine Learning for Internet of Things and Big Data on or before November 1, 2017. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-.... All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.
All submissions and inquiries should be directed to the attention of:
Chintan Bhatt
Dmitry Korzun
Soumya Banerjee
Guest Editor
International Journal of Grid and High Performance Computing (IJGHPC)
E-mail: chintanbhatt.ce-AT-charusat.ac.in; dkorzun-AT-cs.karelia.ru; dr.soumya-AT-ieee.org