IEEE Big Data 2016 conference, held in Washington, DC, Dec 5-8, 2016 drew close to 900 participants from all over the world, with about half from academia, half from industry/government section.
The conference included 18 regular paper sessions, 12 short papers session, and 7 industry sessions (regular paper acceptance rate is 18.7%), plus 6 keynote speeches, 5 tutorials, and 26 workshops.
The presentation ppts for keynotes and tutorials can be downloaded from links below.
IEEE Big Data 2016 keynotes
- Prof. Elisa Bertino: Big Data Security and Privacy
- Prof. Jiawei Han: On the Power of Big Data: Mining Structures from Massive, Unstructured Text Data
- Dr. Mark Johnson: Leveraging High Performance Computing to Drive Advanced Manufacturing R&D at the US department of Energy
- Dr. Michael Stonebraker: Database Decay and How to Avoid It
- Dr. Chaitanya Baru: Harnessing the Data Revolution: A Perspective from the National Science Foundation
- Dr. Guruduth Banavar: Cognitive Computing: From breakthroughs in the lab to applications on the field
IEEE Big Data 2016 Tutorials
- Tutorial 1: Large Scale Text Mining - Techniques and Applications
- Tutorial 2: Trajectory Data Mining
- Tutorial 3: Large Scale Matrix Factorization
- Tutorial 4: Dynamic Big Data Processing in the Web of Things: Challenges, Opportunities and Success Stories
- Tutorial 5: Anomalous and Significant Subgraph Detection in Attributed Networks