String data is ubiquitous, and its management has taken on particular importance in the past few years. Approximate queries are very important on string data especially for more c...
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
We consider the impact of different communication architectures on the performability (performance + availability) of cluster-based servers. In particular, we use a combination of ...