Stochastic propositionalization of relational data using aggregates

Abstract. The fact that data is already stored in relational databases causes many problems in the practice of data mining. To deal with this problem, one either constructs a single table by hand, or one uses a Multi-Relational Data Mining algorithm. In this paper, we propose an approach in which the single table is constructed automatically using aggregate functions, which repeatedly summarize information from dif-ferent tables over associations in the relational database. Following the construction of the single table, we recommend applying traditional data mining algorithms. Next to an in-depth discussion of our approach, the paper discusses testing of our algorithm on two well-known data sets.