ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning (Demonstration Paper)

Sanjay Krishnan, Michael Franklin, Ken Goldberg, Eugene Wu, Jiannan Wang
SIGMOD, Jun. 2016.

Tags: best demo award, crowdsourcing, Data Cleaning

Argonaut: Macrotask Crowdsourcing for Complex Data Processing

Daniel Haas, Jason Ansel, Lydia Gu, Adam Marcus
VLDB 2015, Aug. 2015.

Tags: crowdsourcing, Data Cleaning, data quality

Wisteria: Nurturing Scalable Data Cleaning Infrastructure

Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael Franklin, Eugene Wu
VLDB 2015, Aug. 2015.

Tags: crowdsourcing, Data Cleaning, sampleclean

Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views

Sanjay Krishnan, Jiannan Wang, Michael Franklin, Michael Jordan, Tim Kraska
VLDB 2015 (PVLDB Vol. 8 No. 12), Aug. 2015.

Tags: crowdsourcing, Data Cleaning, data quality, Materialized Views, Sampling

A Methodology for Learning, Analyzing, and Mitigating Social Influence Bias in Recommender Systems

Sanjay Krishnan, Jay Patel, Michael Franklin, Ken Goldberg
ACM Conference on Recommender Systems, Oct. 2014.

Tags: bias mitigation, crowdsourcing, Data Cleaning

A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data

Jiannan Wang, Sanjay Krishnan, Michael Franklin, Ken Goldberg, Tim Kraska, Tova Milo
SIGMOD, Jun. 2014.

Tags: Big Data, crowdsourcing, Data Cleaning, query processing, Sampling

CrowdER: Crowdsourcing Entity Resolution

Jiannan Wang, Tim Kraska, Michael Franklin, Jianhua Feng
Proceedings of the VLDB Endowment 2012, Vol. 5, No. 10, Aug. 2012.

Tags: crowdsourcing, Data Cleaning, data quality