We invite submission of papers describing innovative research on all aspects of big data, information management, data science and machine learning, ranging from theoretical foundations to novel models and algorithms for data and information management problems in science, business, medicine, and engineering. Visionary papers on new and emerging topics are also welcome, as are application-oriented papers that make innovative technical contributions to research. Authors are explicitly discouraged from submitting incremental results that do not provide significant advances over existing approaches.
The terms have been grouped to provide a somewhat systematic overview of topics relevant to ICDSIM2016 conference.
Distributed big data platforms
Large-scale data analytics
Large-scale machine learning systems
Parallel and distributed computing
Statistical techniques for big data
Submitted papers must describe work that is substantively different from work that has already been published, or accepted for publication, or submitted in parallel to other conferences or to journals. Such submissions violate our dual submission policy.
ICDSIM2016 accepts only electronic submissions in PDF and WORD format at ICDSIM2015 Submission System.
Paper Submission Deadline: May 31, 2016
Acceptance/Reject Notification: July 10, 2016
Paper Registration: July 30, 2016