Real-Time & Stream Analytics in Big Data (RSA Bigdata)

December 5-8,2016

washington, DC

Call For Papers

Stream Processing and Real-time analytics have caught the interest of the industry lately. Many use cases are nowadays waiting for relevant and efficient solutions to be developed. Such use cases include event-driven marketing, dynamic network management & optimization, real-time recommendation, context-aware applications and real-time fraud detection.The workshop is an excellent opportunity to gather together actors from academia and industry to discuss, to explore and to refine new opportunities and use cases in the area. The workshop will benefit to both researchers and practitioners interested in the latest researches in real-time and stream processing. The workshop will showcase prototypes or products leveraging big data technologies as well as models and efficient algorithms for scalable complex event processors and context detection engines.

Topics of Interest

• New stream processing architecture for big data.
• Complex Event Processing for big data, pattern matching engines for big data.
• Scalable real-time decision algorithms.
• Scalable stream processing architecture,algorithms or models.
• Stream SQL and other continuous query languages on big data frameworks.
• Algorithms for stream mining or incremental mining.

IMPORTANT DATES

Submission deadline:September 15, 2016

Notification Due:October 15, 2016

Final Version Due:November 15, 2016

                       

User Name : jerish
Posted 24-08-2016 on 09:40:45 AEDT

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