Anne Laurent

Anne Laurent has been an assistant professor at the LIRMM lab since September 2003. As a member of the TATOO group, she works on data mining, OLAP Mining, sequential pattern mining, tree mining, stream mining both for trends and exceptions detections and is particularly interested in the study of the use of fuzzy logic to provide more valuable results, while remaining scalable. Anne Laurent has numerous collaborations with companies, including small and big businesses. She serves as reviewer in the main conferences and journals related to data mining and fuzzy logic.

Publications

Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Anne Laurent, Marie-Jeanne Lesot. © 2010. 466 pages.
Today, fuzzy methods provide tools to handle data sets in relevant, robust and interpretable ways, making it possible to model and exploit imprecision and uncertainty in data...