Poster spotlights

Isabel Valera and Zoubin Ghahramani. Automatic Discovery of the Statistical Types of Variables in a Dataset

David Janz, Brooks Paige, Tom Rainforth, Jan-Willem van de Meent and Frank Wood Probabilistic structure discovery in time series data

Richard Lippmann, William Campbell and Joseph Campbell An Overview of the DARPA Data Driven Discovery of Models (D3M) Program

Kristin Bennett, John Erickson, Hannah De Los Santos, Evan Patton, John Sheehan and Deborah McGuinness Data Analytics as Data: A Semantic Workflow Approach

Lidia Contreras-Ochando, Fernando Martínez-Plumed, Cesar Ferri, Jose Hernandez-Orallo and Maria Jose Ramirez-Quintana General-Purpose Inductive Programming for Data Wrangling Automation

Lev Faivishevsky and Amitai Armon. Using Downhill Simplex Method for Optimizing Machine Learning Training Running Time

Lidia Contreras-Ochando, Fernando Martínez-Plumed, Cesar Ferri, Jose Hernandez-Orallo and Maria Jose Ramirez-Quintana. Logging Data Scientists: Collecting Evidence for Data Science Automation

Lin Li, William Campbell, Cagri Dagli and Joseph Campbell Making Sense of Unstructured Text Data

Cornelia Caragea Identifying Descriptive Keyphrases from Scholarly Big Data

Simao Eduardo and Charles Sutton Data Cleaning using Probabilistic Models of Integrity Constraints

Udayan Khurana, Fatemeh Nargesian, Horst Samulowitz, Elias Khalil and Deepak Turaga Automating Feature Engineering

Zhao Xu and Lorenzo von Ritter Poster Adaptive Streaming Anomaly Analysis