Call
for Papers on ICCMIT 2017
(Special
Session Number(SSN): SSN-40)
“Unstructured Big
Data and its Advances Intelligent Analytics”
Organized by:
Bharat Singh, Data Scientist
Big Data Labs, Hamburg, Germany,
E-mail: bharat.singh@bigdatalabs.org
Neel Mani, Researcher, ADAPT Centre
Dublin
City Univeristy, Ireland
E-mail: nmani@computing.dcu.ie
Pandian Vasant, Dr.
Faculty
of Science and Information Technology
Universiti
Teknologi PETRONAS, Malaysia
Junzo Watada, Prof.
The
Graduate School of Information, Production and Systems,
Waseda
University, Japan
Objectives and Motivation
Big data analytics is a novel research
approach used in modern times to understand and solve complex problems. It
finds its applications in modelling complex business solutions. Big data is
scattered, heterogeneous and is of the size of thousands of terabytes.
Intelligent analysis and the management of such huge data is made possible
using emerging techniques and tools provided by information and communication
technology.
The aim of this special session is
to provide an open platform for prospective researchers for discussion of new
advancements in big data analytics, development and applications using
efficient techniques. We encourage researchers to submit original works which
will enrich prospective researchers and provide novel and improved techniques
based on some of the areas mentioned below, although not limited to these
areas, since "research does not follow any boundaries”.
The conference session entitled “Unstructured Big Data and its Advances
Intelligent Analytics” is expected to exchange ideas and thoughts about
impacts of big data research on the state of the art as well as upcoming trends
of issues related to research and applications of finance and social media and unstructured
big data.
Scope and
Interests
Big data
analysis is a multi-dimensional, expanding research field exploring
applications in every sphere of technological advancement, be it engineering,
applied mathematics, medicine, computational biology, healthcare, social
networks, finance, business, government, education, transportation and
telecommunications.
Topics of the
session may include, but not limited to, the following:
o Financial prediction
o Banking and Securities
o Communication, Media & Entertainment
o Healthcare Providers
o Education
o Manufacturing & Natural Resources
o Government
o Insurance
o Retail & Wholesale
o Transportation
o Energy &
Utilities
Paper Submission Important Dates