International Business Machines Corporation

Suppawong Tuarob

Pawan Raghunath Chowdhary

Hovey R Strong, Jr

Anca Andreea Chandra

Jeanette L Blomberg

Se Chan Oh

Embodiments of the present invention provide a method for detecting a temporal change of name associated with performance data. The method comprises receiving at least one candidate name replacement pair comprising a pair of names. The method further comprises, in a training stage, for each known name replacement pair included in the performance data, determining a window of time covering a most recent appearance of a first name of the known name replacement pair. The window of time is determined based on quantitative features of a time series model comprising performance data for the first name and a second name of the known name replacement pair. The method further comprises, in the training stage, training a machine learning classifier based on quantitative features computed using a portion of the performance data for the first name and the second name, where the portion is within the window of time determined.

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State College, PA, United States of America

Suppawong Tuarob