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SREENIVASAN RAMAMURTHY <[log in to unmask]>
Thu, 4 May 2017 15:09:09 -0400
text/plain (178 lines)
*Call For Papers*



*Special Issue on “Big Data in Ubiquitous Computing”*

*IEEE Transaction on Big Data*



*Scope and Aims*



With the continuous expansion of ubiquitous sensors, devices, networks and
Internet of Things, all kinds of data become widely available and large in
amount. Generation of huge amounts of data, called big data, reflects the
dynamics of physical world and can be the basis for ubiquitous
intelligence. Big data in ubiquitous intelligence scenarios exhibit some
specific characteristics, like multi-source, heterogeneous, large-scale,
real-time streaming, continuous, ever-expanding and spatial-temporal.
Traditional ubiquitous computing approaches or systems began to show their
limitations. It is difficult to manage and utilize all kinds of big data to
accelerate ubiquitous intelligence in real-world. We believe that we need a
new way for ubiquitous intelligence and computing where big data is
immensely involved, especially for the data trace collected from ambient
sensors, wearable, social media and so on. Intensive research is required
on the collaboration between big data and ubiquitous computing. This
special issue, as a dedicated forum, aims for the scientific and industrial
community to present their novel models, methodologies, techniques and
solutions which can address theoretical and practical issues.



*Topics of Interest*



·         We invite authors from academia and industry to submit their
original research as well as review articles to present latest progresses
for current development or future goals in this field.



·         Topics of interest include, but are not limited to:



·         Basic theory of big data and ubiquitous computing l System
architecture and infrastructure of big data and ubiquitous computing:
including computing architecture, cloud computing technology and platform,
edge computing technology and platform



·         Big data acquisition and pre-processing in ubiquitous computing



·         Storage management models, techniques and systems for big data in
ubiquitous

·         Computing



·         Methods and algorithms for ubiquitous intelligent and ubiquitous
computing: including machine learning, data mining, social network
analysis, web mining and retrieval, business intelligence, ranking and
recommendation, ontology-based storage management and analytical mining of
large-scale semantic data, virtualized analysis and computation, etc.



·         Parallel computation models, frameworks and systems for big data:
including models, frameworks and systems of MapReduce, stream computing,
hybrid parallel computation and programming



·         Privacy and security of big data and ubiquitous computing



·         System solutions and tool platform for big data and ubiquitous
computing



·         Industrial Applications of Big data and ubiquitous computing



*Special Issue Editors*



·         Jianwu Wang, University of Maryland, Baltimore County,
[log in to unmask],

http://userpages.umbc.edu/~jianwu/

·         Nirmalya Roy, University of Maryland, Baltimore County,
[log in to unmask],

http://userpages.umbc.edu/~nroy/

·         Zhuofeng Zhao, North China University of Technology,
[log in to unmask],

http://dblp.uni-trier.de/pers/hd/z/Zhao:Zhuofeng

·         Stephen Intille, Northeastern University,
[log in to unmask],

http://www.ccs.neu.edu/home/intille/



*Important Dates*



• Manuscript Submission Deadline: September 1st, 2017

• First Round Decisions: November 15th, 2017

• Revision After First Round if needed: December 30th, 2017

• Second Round Decisions: February 28th, 2018

• Final Manuscript: March 30th, 2018



*Paper Submission Guidelines*



This issue will contain papers directly submitted from the wider research
community along with selected papers from the 14th IEEE International
Conference on Ubiquitous Intelligence and Computing (UIC 2017,
http://ieee-smartworld.org/2017/uic/). Papers selected from UIC will be
substantially extended with at least 30% difference from its conference
version. All submissions will go through a two-round peer-review process by
at least three international researchers.



Before submitting your manuscript, please ensure you have carefully read
the Instructions for Authors for IEEE Transactions on Big Data (TBD). The
complete manuscript should be submitted through TBDs submission system. To
ensure that you submit to the correct special issue, please select the
appropriate section in the dropdown menu upon submission. In your cover
letter, please also clearly mention the title of the SI.



*More Information*



The main website of the special issue is at http://userpages.umbc.edu/~jia
nwu/TBD-BDUC-2017/. The Call For Paper (CFP) information can also be found
from the IEEE Transaction on Big Data web site at
https://www.computer.org/cms/Computer.org/transactions/cfps/
cfp_tbdsi_bduc.pdf.

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