In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
Efficiently processing continuous k-nearest neighbor queries on data streams is important in many application domains, e. g. for network intrusion detection or in querysubscriber ...
Abstract. We introduce a uniform framework for reasoning about infinitestate systems with unbounded control structures and unbounded data domains. Our framework is based on constr...
Ahmed Bouajjani, Peter Habermehl, Yan Jurski, Miha...
: Traditional spatial indexes like R-tree usually assume the database is not updated frequently. In applications like location-based services and sensor networks, this assumption i...
During grouping tasks for data exploration and sense-making, the criteria are normally not well-defined. When users are bringing together data objects thought to be similar in som...
Xiaohua Sun, Patrick Chiu, Jeffrey Huang, Maribeth...