Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
Sketches--data structures for probabilistic, duplicate insensitive counting--are central building blocks of a number of recently proposed network protocols, for example in the con...
Local tag structures have become frequent through Web 2.0: Users "tag" their data without specifying the underlying semantics. Every user annotates items in an individual...
Association studies in populations relate genomic variation among individuals with medical condition. Key to these studies is the development of efficient and affordable genotypin...
Two standard schemes for learning in classifier systems have been proposed in the literature: the bucket brigade algorithm (BBA) and the profit sharing plan (PSP). The BBA is a lo...