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This paper implemented a network traffic classification method on the basis of Guassian Mixture Model-Hidden Markov Model using packet-level properties in network traffic flows (PLGMM-HMM). Our model firstly builds PLGMM-HMMs via two packet-level properties, inter packet time and payload size, respectively; then, we construct the estimation function by(More)
Sequential pattern mining is an important data mining problem with broad applications. And the classic algorithm for this problem is PrefixSpan, which is a projection-based, sequential pattern-growth approach. But it must scan projected database once in order to find a local frequent item, it may cost much time when the database is large. In this paper, we(More)
BACKGROUND AND OBJECTIVE Recently, the prevalence of colorectal neoplasm is increasing sharply. It has been reported that both colorectal neoplasm and cardiovascular disease share similar common risk factors. Subclinical hypothyroidism (SCH) occurs in 4-20% of the adult population and is an independent risk factor for cardiovascular disease. However, no(More)
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