6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.DB2015★ 1 cited
BayesWipe: A Scalable Probabilistic Framework for Cleaning BigData
Sushovan De, Yuheng Hu, Meduri Venkata Vamsikrishna +2
Recent efforts in data cleaning of structured data have focused exclusively on problems like data deduplication, record matching, and data standardization; none of the approaches a…
cs.DB2012★ 6 cited
Bayesian Data Cleaning for Web Data
Yuheng Hu, Sushovan De, Yi Chen +1
Data Cleaning is a long standing problem, which is growing in importance with the mass of uncurated web data. State of the art approaches for handling inconsistent data are systems…
cs.DB2010★ 3 cited
Defining and Mining Functional Dependencies in Probabilistic Databases
Sushovan De, Subbarao Kambhampati
Functional dependencies -- traditional, approximate and conditional are of critical importance in relational databases, as they inform us about the relationships between attributes…