AMPLab Publications

• PrivateClean: Data Cleaning and Differential Privacy
• SampleClean: Fast and Reliable Analytics on Dirty Data
• Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views
• Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views
• Automating Model Search for Large Scale Machine Learning
• A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data
• PLANET: Making Progress with Commit Processing in Unpredictable Environments
• MLI: An API for Distributed Machine Learning
• Leveraging Transitive Relations for Crowdsourced Joins
• Generalized Scale Independence Through Incremental Precomputation
• RTP: Robust Tenant Placement for Elastic In-Memory Database Clusters
• MDCC: Multi-Data Center Consistency
• CrowdQ: Crowdsourced Query Understanding
• MLbase: A Distributed Machine-learning System
• Crowdsourced Enumeration Queries (Best Paper Award)
• CrowdER: Crowdsourcing Entity Resolution
• PIQL: Success-Tolerant Query Processing in the Cloud
• Crowdsourcing Applications and Platforms: A Data Management Perspective (Tutorial)
• CrowdDB: Query Processing with the VLDB Crowd (Best Demo Award)
• CrowdDB: Answering Queries with Crowdsourcing