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The Coron Platform

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The Coron Platform
Theme : Generic Symbolic KDD Systems
Participants: Amedeo Napoli
Yannick Toussaint
Url: http://coron.loria.fr

The Coron platform [43] [80] [121] is a KDD toolkit organized around three main components:

  1. Coronbase,
  2. AssRuleX,
  3. pre- and post-processing modules.

The software has been registered at the "Agence pour la Protection des Programmes" (APP) and is freely available (http://coron.loria.fr). The Coron-base component includes a complete collection of data mining algorithms for extracting itemsets such as frequent itemsets, frequent closed itemsets, frequent generators. In this collection we can find APriori, Close, Pascal, Eclat, Charm, and, as well, original algorithms such as ZART, Snow, Touch, and Talky-G. The Coron-base component contains also algorithms for extracting rare itemsets and rare association rules, e.g. APriori-rare, MRG-EXP, ARIMA, and BTB. AssRuleX generates different sets of association rules (from itemsets), such as minimal non-redundant association rules, generic basis, and informative basis. In addition, the Coron system supports the whole life-cycle of a data mining task and proposes modules for cleaning the input dataset, and for reducing its size if necessary. The Coron toolkit is developed in Java, is operational, and was already used in several research projects.


References

  • [43] - X.Iturrioz, R.Alvear-Perez, N.DeMota, C.Franchet, F.Guillier, V.Leroux, H.Dabire, M.LeJouan, H.Chabane, R.Gerbier, D.Bonnet, A.Berdeaux, B.Maigret, J.-L. Galzi, M.Hibert, C.Llorens-Cortes, Identification and pharmacological properties of E339-3D6, the first nonpeptidic apelin receptor agonist, The FASEB Journal 24, 5, May 2010, p.1506--1517, http://hal.inria.fr/hal-00547967/en.

  • [80] - Z.Azmeh, F.Hamoui, M.Huchard, N.Messai, C.Tibermacine, C.Urtado, S.Vauttier, Backing Composite Web Services Using Formal Concept Analysis, in,: ICFCA'11: 9th International Conference on Formal Concept Analysis, p.16, Nicosia, Cyprus, May 2011, http://hal.inria.fr/lirmm-00596322/en.

  • [121] - M.Kaytoue, S.O. Kuznetsov, A.Napoli, Biclustering Numerical Data in Formal Concept Analysis, in,: 9th International Conference on Formal Concept Analysis - ICFCA 2011, P.Valtchev, R.J"aschke (editors), Lecture Notes in Computer Science, 6628, Springer, p.135--150, Nicosia, Cyprus, 2011, http://hal.inria.fr/inria-00600203/en.