User menu

An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming

Bibliographic reference Aoga, John ; Guns, Tias ; Schaus, Pierre. An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming.In: Paolo Frasconi, Niels Landwehr, Giuseppe Manco and Jilles Vreeken (ed.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II, 2016, p.315-330
Permanent URL http://hdl.handle.net/2078.1/177056
  1. Agrawal R., Srikant R., Mining sequential patterns, 10.1109/icde.1995.380415
  2. Ayres Jay, Flannick Jason, Gehrke Johannes, Yiu Tomi, Sequential PAttern mining using a bitmap representation, 10.1145/775047.775109
  3. Coquery, E., Jabbour, S., Saïs, L., Salhi, Y.: A SAT-based approach for discovering frequent, closed and maximal patterns in a sequence. In: ECAI (2012)
  4. Guns Tias, Nijssen Siegfried, De Raedt Luc, Itemset mining: A constraint programming perspective, 10.1016/j.artint.2011.05.002
  5. Kemmar, A., Loudni, S., Lebbah, Y., Boizumault, P., Charnois, T.: A global constraint for mining sequential patterns with gap constraint. In: CPAIOR16 (2015)
  6. Kemmar Amina, Loudni Samir, Lebbah Yahia, Boizumault Patrice, Charnois Thierry, PREFIX-PROJECTION Global Constraint for Sequential Pattern Mining, Lecture Notes in Computer Science (2015) ISBN:9783319232188 p.226-243, 10.1007/978-3-319-23219-5_17
  7. Mabroukeh Nizar R., Ezeife C. I., A taxonomy of sequential pattern mining algorithms, 10.1145/1824795.1824798
  8. Negrevergne Benjamin, Guns Tias, Constraint-Based Sequence Mining Using Constraint Programming, Integration of AI and OR Techniques in Constraint Programming (2015) ISBN:9783319180076 p.288-305, 10.1007/978-3-319-18008-3_20
  9. OscaR Team: OscaR: Scala in OR (2012). https://bitbucket.org/oscarlib/oscar
  10. Pei, J., Han, J., Mortazavi-Asl, B., Pinto, H., Chen, Q., Dayal, U., Hsu, M.C.: Prefixspan: mining sequential patterns efficiently by prefix-projected pattern growth. In: ICCCN, p. 0215. IEEE (2001)
  11. Perez Guillaume, Régin Jean-Charles, Improving GAC-4 for Table and MDD Constraints, Lecture Notes in Computer Science (2014) ISBN:9783319104270 p.606-621, 10.1007/978-3-319-10428-7_44
  12. Rossi, F., Van Beek, P., Walsh, T.: Handbook of CP. Elsevier (2006)
  13. Schulte Christian, Carlsson Mats, Finite Domain Constraint Programming Systems, Handbook of Constraint Programming (2006) ISBN:9780444527264 p.495-526, 10.1016/s1574-6526(06)80018-0
  14. Trasarti Roberto, Bonchi Francesco, Goethals Bart, Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions, 10.1109/icdm.2008.111
  15. Yan Xifeng, Han Jiawei, Afshar Ramin, CloSpan: Mining: Closed Sequential Patterns in Large Datasets, Proceedings of the 2003 SIAM International Conference on Data Mining (2003) ISBN:9780898715453 p.166-177, 10.1137/1.9781611972733.15
  16. Yang, Z., Kitsuregawa, M.: LAPIN-SPAM: an improved algorithm for mining sequential pattern. In: International Conference on Data Engineering (2005)
  17. Yang Zhenglu, Wang Yitong, Kitsuregawa Masaru, LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases, Advances in Databases: Concepts, Systems and Applications ISBN:9783540717027 p.1020-1023, 10.1007/978-3-540-71703-4_95
  18. Zaki Mohammed J., Sequence mining in categorical domains : incorporating constraints, 10.1145/354756.354849