AMPLab Publications

• Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning
• Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems
• BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data (Best Paper Award)
• Blink and It’s Done: Interactive Queries on Very Large Data
• MDCC: Multi-Data Center Consistency
• CrowdDB: Query Processing with the VLDB Crowd (Best Demo Award)