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- Fei Chiang, Renée J. Miller
- PVLDB
- 2008
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often arises when domain… (More)
- Oktie Hassanzadeh, Fei Chiang, Renée J. Miller, Hyun Chul Lee
- PVLDB
- 2009
The presence of duplicate records is a major data quality concern in large databases. To detect duplicates, entity resolution also known as duplication detection or record linkage is used as a part… (More)
- Fei Chiang, Renée J. Miller
- IEEE 27th International Conference on Data…
- 2011
Integrity constraints play an important role in data design. However, in an operational database, they may not be enforced for many reasons. Hence, over time, data may become inconsistent with… (More)
- Nilesh Bansal, Fei Chiang, Nick Koudas, Frank Wm. Tompa
- VLDB
- 2007
The popularity of blogs has been increasing dramatically over the last couple of years. As topics evolve in the blogosphere, keywords align together and form the heart of various stories. Intuitively… (More)
- Maksims Volkovs, Fei Chiang, Jaroslaw Szlichta, Renée J. Miller
- IEEE 30th International Conference on Data…
- 2014
In declarative data cleaning, data semantics are encoded as constraints and errors arise when the data violates the constraints. Various forms of statistical and logical inference can be used to… (More)
- Fei Chiang, Periklis Andritsos, Erkang Zhu, Renée J. Miller
- IEEE 28th International Conference on Data…
- 2012
An attribute dictionary is a set of attributes together with a set of common values of each attribute. Such dictionaries are valuable in understanding unstructured or loosely structured textual… (More)
Quantitative data cleaning relies on the use of statistical methods to identify and repair data quality problems while logical data cleaning tackles the same problems using various forms of logical… (More)
- Fei Chiang, Renée J. Miller
- ICIQ
- 2011
The use of data quality rules, which capture business rules and domain constraints, is central to most data quality processes. Poor data quality often arises when the data and these rules (which are… (More)
- Iman Elghandour, Ashraf Aboulnaga, +4 authors Calisto Zuzarte
- SIGMOD Conference
- 2008
XML database systems are expected to handle increasingly complex queries over increasingly large and highly structured XML databases. An important problem that needs to be solved for these systems is… (More)
Functional Dependencies (FDs) define attribute relationships based on syntactic equality, and, when used in data cleaning, they erroneously label syntactically different but semantically equivalent… (More)