Angelina A. Tzacheva

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Action rules can be seen as an answer to the question: what one can do with results of data mining and knowledge discovery? Some applications include: medical field, e-commerce, market basket analysis , customer satisfaction, and risk analysis. Action rules are logical terms describing knowledge about possible actions associated with objects , which is(More)
Action rules are built from atomic expressions called atomic action terms and they describe possible transitions of objects from one state to another. They involve changes of values within one decision attribute. Association action rule is similar to an action rule but it may refer to changes of values involving several attributes listed in its decision(More)
At a time when the quantity of music media surrounding us is rapidly increasing and the access to recordings as well as the amount of music files available on the Internet is constantly growing, the problem of building music recommendation systems is of great importance. In this work, we perform a study on automatic classification of musical instruments. We(More)
We present a generalization of a strategy, called SCIKD, proposed in [7] that allows to reduce a disclosure risk of confidential data in an information system S [10] using methods based on knowledge discovery. The method proposed in [7] protects confidential data against Rule-based Chase, the null value imputation algorithm driven by certain rules [2], [4].(More)
An ontology database system is a basic relational database management system that models an ontology plus its instances. To reason over the transitive closure of instances in the subsumption hierarchy, an ontology database can either unfold views at query time or propagate assertions using triggers at load time. In this paper, we present a method to embed(More)
The amount of music files available on the Internet is constantly growing, as well as the access to recordings. Music is now so readily accessible in digital form that personal collections can easily exceed the practical limits of the time we have to listen to them. Today, the problem of building music recommendation systems, including systems which can(More)