The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Empirical research on software development based on data obtained from project repositories and code forges is increasingly gaining attention in the software engineering research ...
We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales ...
This paper focuses on mining human strategies by observing their actions. Our application domain is an HCI study aimed at discovering general strategies used by software users and...
Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. B...
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...