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iZi: a new toolkit for pattern mining problems

Abstract : Pattern mining problems are useful in many applications.Due to a common theoretical background for such problems, generic concepts can be re-used to easier the development of algorithms. As a consequence, these problems can be implemented with only minimal effort, i.e. programmers do not have to be aware of low-level code, customized data structures and algorithms being available for free.A toolkit, called iZi, has been devised and applied to several problems such as itemset mining, constraint mining in relational databases and query rewriting in data integration systems. According to our first results, the programs obtained using our library offer a very good tradeoff between performances and development simplicity.
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Submitted on : Wednesday, September 20, 2017 - 2:36:48 PM
Last modification on : Wednesday, November 27, 2019 - 4:48:01 AM


  • HAL Id : hal-01590932, version 1


Frédéric Flouvat, Fabien de Marchi, Jean-Marc Petit. iZi: a new toolkit for pattern mining problems. International Symposium on Methodologies for Intelligent Systems (ISMIS), May 2008, Toronto, Canada. pp.131-136. ⟨hal-01590932⟩



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