This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
E-commerce web sites that sell highly customized products tend to be very complex in terms of the underlying logical model of the customization process. We present a systematic ap...
Andrea Lombardoni, Moira C. Norrie, Nadir Weibel, ...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
This paper presents HotZone, an algorithm to place replicas in a wide-area network such that the client-toreplica latency is minimized. Similar to the previously proposed HotSpot ...
Michal Szymaniak, Guillaume Pierre, Maarten van St...
Abstract. We present a new technique for granular sampling using a pulsecoupled network of spiking artificial neurons to generate grain events. The system plays randomly selected s...