Cyber Center

Cyber Center Lecture Series

December 3 @ 12:00 PM - 1:00 PM - Lawson Computer Science Room 3102AB

Laure Berti-Equille, AT&T Labs, Research is giving a lecture entitled "Data Quality Management Mining"

Data quality problems occur frequently and are easily propagated in every databases and warehousing system, affecting every application domain and decision making process. Almost all real-life datasets contain missing, duplicate, out-of-range, inconsistent or incorrect values. As a consequence, any data management, integration or KDD task requires intense and complex data preparation and cleaning processes of scrubbing the data to avoid misleading, incorrect and biased results. However, the current practices of data preparation and cleaning are usually one-shot, ad hoc, rule-based, and programmatic approaches. Most importantly, they usually focus on one single type of data glitch in isolation.

In this talk, we show that data glitches of different types occur concomitantly in real-life datasets. Due to the structure of the processes that generate these data, the glitches have complex and multivariate interactions and also mutual masking effects. The focus on the talk is thus to introduce you to data quality management and mining with recent techniques and methods for measuring and improving the quality of data in various application domains.



Laure Berti-Équille received a M.Sc. degree in Computer Science in 1996 from the University of Paris IX (France). She earned the M.Sc. degree in Physics and the Ph.D. degree in Computer Science from the University of Toulon (France), in 1995 and 1999 respectively. From 1999 to 2000, Laure worked as an assistant professor at the University of Avignon (France). In September 2000, she joint IRISA Lab as a permanent associate professor of the University of Rennes 1 (France). Since September 2007, she is a visiting researcher at AT&T Labs Research (New Jersey, USA), where she is involved in several projects related to Data Quality Management and Mining (3-years fellowship funded by the European Commission - FP7 Mobility Marie Curie OIF).

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