Scalable sequential pattern mining for biological sequences

@inproceedings{Wang2004ScalableSP,
  title={Scalable sequential pattern mining for biological sequences},
  author={Ke Wang and Yabo Xu and Jeffrey Xu Yu},
  booktitle={CIKM},
  year={2004}
}
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., "don't care") of arbitrary size. Mining frequent patterns in such sequences faces a different type of explosion than in transaction sequences primarily motivated in market-basket analysis. In this paper, we study how this explosion affects the classic sequential pattern mining, and present a scalable two-phase algorithm to deal with this new explosion. The <i>Segment Phase</i> first searches for… CONTINUE READING
Highly Cited
This paper has 109 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 65 extracted citations

109 Citations

051015'07'10'13'16
Citations per Year
Semantic Scholar estimates that this publication has 109 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…