Subgroup discovery can be defined as a form of supervised inductive learning in which, given a population of individuals and a specific property of individuals in which we are interested, find population subgroups that have the most unusual distributional characteristics with respect to the property of interest. Subgroup discovery algorithms aim at discovering individual rules, which must be re...

The problem of decision rules extracting (or more general knowledge discovery) from experimental data is intensively studied (see e. 27]). We apply rough set methods and boolean reasoning for decision rules discovery from decisions tables. It is not possible in general to extract general laws from experimental data by computing rst all reducts of a decision table representing data and next deci...

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Data mining, also known as knowledge discovery in databases, is the process of discovery potentially useful, hidden knowledge or relations among data from large databases. An important topic in data mining research is concerned with the discovery of association rules. The majority of databases are distributed nowadays. In this paper is presented an algorithm for mining fuzzy association rules f...