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SAC
2006
ACM
16 years 19 days ago
A probability analysis for candidate-based frequent itemset algorithms
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...
Nele Dexters, Paul W. Purdom, Dirk Van Gucht
EEE
2005
IEEE
16 years 9 days ago
A Systematic Approach to the Development of E-Commerce Sites for Mass Customization
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, ...
ITRE
2005
IEEE
16 years 8 days ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
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...
Sachin Shetty, Min Song
SAINT
2005
IEEE
16 years 7 days ago
Latency-Driven Replica Placement
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...
EVOW
2005
Springer
16 years 6 days ago
Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons
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...
Eduardo Reck Miranda, John Matthias