Carem C. Fabris

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This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very nature, instances of this Paradox tend to be surprising to the user. Previous work in the literature has proposed an algorithm for discovering instances of that paradox, but it addressed(More)
Although the integration of data mining and OLAP is obviously of great interest (if only due to the widespread availability of commercial-strength OLAP tools), relatively little progress has been made in this integration. The main goal of this paper is to contribute to this integration, by incorporating some data mining functionality (more precisely,(More)
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