Advanced in Control Engineering and Information Science An effective algorithm for mining sequential generators

  • Shengwei Yia, Tianheng Zhaoa, Yuanyuan Zhangab, Shilong Maa, Zhanbin Chea
  • Published 2011

Abstract

Mining frequent sequences patterns invokes the interests of many searchers. However, the result set of frequent sequences is tremendous. While frequent sequential generator patterns can compact the result set of frequent sequences greatly and are superior to the frequent sequential closed patterns in classification and model selection. The existing… (More)

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