TSC 2015 - IEEE Transactions on Services Computing Special Issue on Big Data Analytics, Infrastructure, and Applications

IEEE Transactions on Services Computing
Special Issue on Big Data Analytics, Infrastructure, and Applications
The pervasive nature of digital technologies as witnessed in industry, services and
everyday life has given rise to an emergent, data-focused economy stemming from
many aspects of human individual and commercial activity. The richness and vastness
of these data are creating unprecedented research opportunities in a number of fields
including urban studies, geography, economics, finance, and social science, as well as
physics, biology and genetics, public health and many others.
In addition to Big Data-inspired research, businesses have seized on big data
technologies to support and propel growing business intelligence needs. As businesses
build out Big Data hardware and software infrastructure, it becomes increasingly
important to anticipate technical and practical challenges and to identify best practices
learned through experience.
Big Data analytics employ software tools from advanced analytics disciplines such as
data mining, predictive analytics, and machine learning. At the same time, the
processing and analysis of big data presents methodological and technological
challenges. The goal of this special issue is to present both novel solutions to
challenging technical issues as well as compelling Big Data use cases. This special
issue will share related practical experiences to benefit the reader, and will provide
clear proof that big data analytics technologies are playing an ever-increasing
important and critical role in supporting business intelligence - a new cross-discipline
research topic in computer science and business.
With a general focus on Big Data Analytics, Infrastructure, and Applications, this
special issue covers topics such as:
? Big Data Analytics and Algorithms
? Big Data Security and Privacy
? Big Data Storage
? Big Data Real-time Processing Technologies and Online Transactions
? Big Data Architecture
? Big Data Visualization Technologies
? Big Data Modeling
? Big Data As A Service
? Big Data for Enterprise Transformation
? Big Data in Enterprise Management Models and Practices
? Big Data Applications and Case Studies
Submissions
Please submit your papers through the Transactions on Services Computing (TSC) online system
(https://mc.manuscriptcentral.com/tsc-cs) and select SI on Big Data Infrastructure and Application.
Paper formatting guidelines are available at the journal website (http://www.computer.org/tsc).
Submitted papers should not have been previously published nor be currently under consideration
for publication elsewhere.
Guest editors:
Stanislav Sobolevsky, MIT, USA
stanly-AT-mit.edu
Suzanne McIntosh, Cloudera Inc. and New York University, USA
mcintosh-AT-cs.nyu.edu
Patrick C. K. Hung, University of Ontario Institute of Technology, Canada
patrick.hung-AT-uoit.ca