Attendance at the workshop is open to all interested participants (subject to space limitations). Please register if you would like to attend this workshop.
Call for Posters:
We are soliciting poster abstracts for ongoing work in research and applications at the intersection
of Analytics, Machine Learning, and Systems. Topics of interest include but are not limited to the following:
Systems Issues related to large datasets: storage, data centers/clouds, streaming system, and architecture
New programming model for big data beyond Hadoop/MapReduce, STORM, streaming languages
Streaming big data processing
Mining algorithms of big data in non-traditional formats (unstructured, semi-structured)
Scalable, distributed and parallel algorithms
Applications: mobile data, social network systems, smart grid, social media
systems, scientific data mining, environmental, health analytics, financial
analytics and smart cities.
Poster abstracts should be one page (PDF) highlighting ongoing work
and preliminary results. Submissions should be sent to biglearning@dimacs.rutgers.edu
by March 3, 2014.
Accepted submissions will receive free registration and may also be selected for spotlight presentations.
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