22 citations · 27 across the 5 of their papers we have counts for
6 papers
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation
Ji Sun, Dong Deng, Ihab Ilyas +5
An end-to-end data integration system requires human feedback in several phases, including collecting training data for entity matching, debugging the resulting clusters, confirmin…
Error-Tolerant Big Data Processing
Dong Deng
Real-world data contains various kinds of errors. Before analyzing data, one usually needs to process the raw data. However, traditional data processing based on exactly match ofte…
Unsupervised String Transformation Learning for Entity Consolidation
Dong Deng, Wenbo Tao, Ziawasch Abedjan +7
Data integration has been a long-standing challenge in data management with many applications. A key step in data integration is entity consolidation. It takes a collection of clus…
SilkMoth: An Efficient Method for Finding Related Sets with Maximum Matching Constraints
Dong Deng, Albert Kim, Samuel Madden +1
Determining if two sets are related - that is, if they have similar values or if one set contains the other - is an important problem with many applications in data cleaning, data…
A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity
Zeyi Wen, Dong Deng, Rui Zhang +1
Entity extraction is fundamental to many text mining tasks such as organisation name recognition. A popular approach to entity extraction is based on matching sub-string candidates…
PASS-JOIN: A Partition-based Method for Similarity Joins
Guoliang Li, Dong Deng, Jiannan Wang +1
As an essential operation in data cleaning, the similarity join has attracted considerable attention from the database community. In this paper, we study string similarity joins wi…