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We deal with an inventory system that serves multiple demand classes and procures from two suppliers. Inventory replenishments and rationing decisions have to be made in each period. We show that the optimal rationing decision is characterized by a set of critical levels, and the optimal decision to replenish from the faster supplier follows a modified base-stock policy. For the optimal decision to...
Botnets detection is a relatively new and a very challenging research area. In this paper, we presented VMMBotsViewer, a VMM based botnet detection system that explores the network traffic behavior and system level botnets command and control event. Our experimental evaluation of VMMBotsViewer on many real-world network showed that it has very promising detection accuracy with very low false positive...
In order to solve the problem of "curse of dimensionality", which means that the state spaces will grow exponentially in the number of features, in large discrete state spaces in reinforcement learning, a reinforcement learning method based on Gaussian processes is proposed. The Gaussian processes model can represent the distributions of functions, and it can be used to get a distribution...
Hybrid data clustering analysis is an important issue in data mining. After analyzing the traditional clustering algorithms, the paper presents a new algorithm to cluster colorectal carcinoma auto-fluorescence spectrogram data based on lattice after analyzing the characteristics of biomedicine data. The method changes the objectpsilas attributes to lattice based on the conception of simple tuples...
Hybrid data clustering analysis is an important issue in data mining. Compared with the clustering Algorithm for pure numerical data, the methods can process the data together with numerical and categorical value are quite few although the hybrid data exist in a lot of fields. After analyzing the traditional clustering algorithms, the paper presents a new algorithm to cluster the hybrid data based...
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