Call for Papers for a Special Issue on Collaborative Big Data
Information Systems
Vladimir Zadorozhny, University of Pittsburgh, USA Prashant Krishnamurthy, University of Pittsburgh, USA
Scope:
The ability to collect, integrate, and analyze data from large number of diverse data sources has increased the amount of data collected and processed by individual organizations on the order of tens to hundreds of TB. This data can be efficiently utilized for better decision making, improved business intelligence, as well as for enabling new knowledge and services.
Collaborative generation and utilization of large quantities of data, either through crowdsourcing or through efforts of different organizations and groups creates notable research opportunities. The potential benefits of Collaborative Big Data, as well as new and unexpected challenges are still emerging. Managing, processing, and making sense of this data pose new challenges in storage, networking, database management, data mining, knowledge discovery, information security and privacy.
The objective of the IS special issue on Collaborative Big Data is to disseminate high-quality original research contributions on creating, managing, and handling Collaborative Big Data.
Topics of interest include (but are not limited to):
* Challenges for collaboration in Big Data utilization
* Network architectures and optimization for Big Data applications
* Collaborative Big Data storage and management in the cloud
* Collaborative Big Data reliability assessment
* Analytics for collaborative Big Data
* Crowdsourcing of the Big Data utilization task
* Large-scale collective intelligence for data integration and data fusion
* Human-centered information fusion and sense-making
* Large-scale process monitoring for handling high data rates
* Big Data for network management
* Big Data and mobile networks including challenges in spectrum management and sensing
* Scalable collaborative graph data processing
* Big Data and social networking including location based social networks
* Security and privacy in Collaborative Big Data
* Innovative Applications of Collaborative Big Data
Paper Submission
Submitted manuscripts should closely reflect the final papers as they will appear in the IS special issue, and should not exceed 15 pages.
Papers should be submitted electronically at http://ees.elsevier.com/is. Authors must select SI : Collaborative Big Data when they reach the Article Type step in the submission process.
Important Dates
* Paper Submission deadline: April 15, 2013
* Notification of paper acceptance: August 15, 2013
* Revised version deadline: September 15, 2013
* Final decision: October 15, 2013
* Camera-ready submission deadline: October 30, 2013
* Publication: December 2013
0 comments:
Post a Comment