As sharing personal media online becomes easier and widely spread, new privacy concerns emerge ? especially when the persistent nature of the media and associated context reveals ...
Shane Ahern, Dean Eckles, Nathaniel Good, Simon Ki...
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...