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Privacy preserving data mining have been studied widely on static data. Static algorithms are not suitable for streaming data. This imposes the study of new algorithms for privacy preserving that cope with data streams characteristics. Recently, effective anonymization algorithms have been studied on centralized data streams. In this paper we propose an approach for anonymizing distributed data streams...
Document Clustering is one of the popular techniques that can unveil inherent structure in the underlying data. Two successful models of unsupervised neural networks, Self-Organizing Map (SOM) and Adaptive Resonance Theory (ART) have shown promising results in this task. The high dimensionality of the data has always been a challenging problem in document clustering. It is common to overcome this...
Association rule discovery algorithms generate all rules satisfying minimum support and confidence thresholds. These techniques yield too many rules and are infeasible when the minimum support is low. Recently, Li [1] proposed the Optimal Rule Discovery (ORD) algorithm that discovers a family of rule sets that maximizes a range of interestingness metrics, other than the commonly used confidence metric...
This survey addresses the structure and function of the acute pain services (APS) in the UK 10 years after its initial commencement. APS is now available in many hospitals (89.4%). The APS team consists mainly of anaesthetists, occasionally includes nurses and pharmacists, and rarely physiotherapists and psychologists. Anaesthetists, mainly, cover the out-of-hours service and nurses only occasionally...
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