Xie-Ping Gao

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One of the obstacles of the efficient association rule mining is the explosive expansion of data sets since it is costly or impossible to scan large databases, esp., for multiple times. A popular solution to improve the speed and scalability of the association rule mining is to do the algorithm on a random sample instead of the entire database. But how to(More)
An orthogonal scaling function ϕ(t) can realize perfect A/D (Analogue/Digital) and D/A if and only if ϕ(t) is cardinal in the case of scalar wavelet. But it is not true when it comes to multiwavelets. Even if a multiscaling function φ(t) is not cardinal, it also holds for perfect A/D and D/A. This property shows the limitation of Selesnick’s sampling(More)
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