IEEE Big Data 2016 keynotes, tutorial presentations
Read the keynote and tutorial presentations on important topics including Big Data and Privacy, Mining Unstructured Text Data, Database Decay and How to Avoid It, Trajectory Data Mining, and more.
The recent
IEEE Big Data 2016 conference, held in Washington, DC, Dec 58, 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
IEEE Big Data 2016 Tutorials
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
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