J. Pei's research while affiliated with State University of New York and other places
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Publications (2)
Sequential pattern mining is an important data mining problem with broad applications. However, it is also a challenging problem
since the mining may have to generate or examine a combinatorially explosive number of intermediate subsequences. Recent studies
have developed two major classes of sequential pattern mining methods: (1) a candidate gener...
Citations
... In other words, the hyperplane should be specified for each instance − → x i , the distance between the sample and the hyper-page is the maximum. Each hyperplane can be described as follows (Han et al., 2011): ...
... The authors also proposed level-by-level and pseudo projection strategies to gain an improvement in efficiency by reducing the number and size of projected databases. There are various extensions as discussed by the authors in [11] which can be applied to pattern growth methods such as mining of multidimensional sequential patterns, constraint-based sequential pattern mining [12], and mining of top-k sequential patterns. The experimental results given by the authors in [11] illustrate that the pattern growth approaches take less time and consume less memory than the Apriori-based methods. ...
