En Tzu Wang

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Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a threat to privacy. We investigate to find an appropriate balance between a need for privacy and information discovery on frequent patterns. By multiplying the original database and a(More)
Recently, some approaches of finding probabilistic skylines on uncertain data have been proposed. In these approaches, a data object is composed of instances, each associated with a probability. The probabilistic skyline is then defined as a set of non-dominated objects with probabilities exceeding or equaling a given threshold. In many applications, data(More)
Embedding Information technology with Transportation system creates a new era in building Intelligent Transportation System (ITS). An effective Intelligent Transportation System reduces traffic congestion, environmental pollution, fuel consumption and driver inconvenience etc. The widespread adoption of GPS-enabled mobile devices has opened new(More)