J. Pei's research while affiliated with State University of New York and other places

Publications (2)

Chapter
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. ...