Abstract. We present an algorithm for mining frequent queries in arbitrary relational databases, over which functional dependencies are assumed. Building upon previous results, we ...
As deep submicron technologies are advanced, new challenges, such as power consumption and soft errors, are emerging. A naïve technique, which utilizes emerging multicore process...
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
We present SEMANDAQ, a prototype system for improving the quality of relational data. Based on the recently proposed conditional functional dependencies (CFDs), it detects and rep...
Abstract. The existence of functional dependency among the state variables of a state transition system was identified as a common cause of inefficient BDD representation in formal...