CloSpan: Closed Sequential Pattern Mining Package. CloSpan is a software package of mining closed sequential patterns in a sequence database. Given a collection of sequences and a minimum support threshold, CloSpan is able to find all of the subsequences whose frequency is above the threshold. The details of CloSpan can be found in the following paper, CloSpan: Mining Closed Sequential Patterns in Large Datasets, by X. Yan, J. Han, and R. Afshar. Proc. of 2003 SIAM Int. Conf. Data Mining (SDM’03), 2003. [pdf]

References in zbMATH (referenced in 39 articles )

Showing results 1 to 20 of 39.
Sorted by year (citations)

1 2 next

  1. Paramonov, Sergey; Stepanova, Daria; Miettinen, Pauli: Hybrid ASP-based approach to pattern mining (2019)
  2. Aoga, John O. R.; Guns, Tias; Schaus, Pierre: Mining time-constrained sequential patterns with constraint programming (2017)
  3. Kemmar, Amina; Lebbah, Yahia; Loudni, Samir; Boizumault, Patrice; Charnois, Thierry: Prefix-projection global constraint and top-(k) approach for sequential pattern mining (2017)
  4. Orman, Günce Keziban; Labatut, Vincent; Naskali, Ahmet Teoman: Exploring the evolution of node neighborhoods in dynamic networks (2017)
  5. Nakamura, Atsuyoshi; Takigawa, Ichigaku; Tosaka, Hisashi; Kudo, Mineichi; Mamitsuka, Hiroshi: Mining approximate patterns with frequent locally optimal occurrences (2016)
  6. Petitjean, François; Li, Tao; Tatti, Nikolaj; Webb, Geoffrey I.: Skopus: mining top-(k) sequential patterns under leverage (2016)
  7. Tabaei Befrouei, Mitra; Wang, Chao; Weissenbacher, Georg: Abstraction and mining of traces to explain concurrency bugs (2016)
  8. Egho, Elias; Raïssi, Chedy; Calders, Toon; Jay, Nicolas; Napoli, Amedeo: On measuring similarity for sequences of itemsets (2015)
  9. Cule, Boris; Tatti, Nikolaj; Goethals, Bart: Marbles: mining association rules buried in long event sequences (2014)
  10. Tatti, Nikolaj; Cule, Boris: Mining closed strict episodes (2012)
  11. Kaneiwa, Ken; Kudo, Yasuo: A sequential pattern mining algorithm using rough set theory (2011) ioport
  12. Balcázar, José L.; Bifet, Albert; Lozano, Antoni: Mining frequent closed rooted trees (2010)
  13. Bernshtein, L. S.; Kovalev, S. M.; Muravskii, A. V.: Models of representation of fuzzy temporal knowledge in databases of temporal series (2009)
  14. Cho, Chung-Wen; Wu, Yi-Hung; Chen, Arbee L. P.: Effective database transformation and efficient support computation for mining sequential patterns (2009) ioport
  15. Cho, Chung-Wen; Wu, Yi-Hung; Chen, Arbee L. P.: Effective database transformation and efficient support computation for mining sequential patterns (2009) ioport
  16. Gidófalvi, Győző; Pedersen, Torben Bach: Mining long, sharable patterns in trajectories of moving objects (2009) ioport
  17. Li, Guoliang; Feng, Jianhua; Wang, Jianyong; Zhou, Lizhu: Incremental sequence-based frequent query pattern mining from XML queries (2009) ioport
  18. Lo, David; Khoo, Siau-Cheng; Wong, Limsoon: Non-redundant sequential rules-theory and algorithm (2009) ioport
  19. Wang, Jianyong; Zhang, Yuzhou; Zhou, Lizhu; Karypis, George; Aggarwal, Charu C.: CONTOUR: an efficient algorithm for discovering discriminating subsequences (2009) ioport
  20. Zhang, Huaifeng; Zhao, Yanchang; Cao, Longbing; Zhang, Chengqi; Bohlscheid, Hans: Customer activity sequence classification for debt prevention in social security (2009) ioport

1 2 next