Reflecting the original idea, the workshop is focused on relational data mining. Authors are invited to submit papers presenting results on theoretical, algorithmic and implementation aspects of relational learning methods, such as

• inductive logic programming
• classification and regression trees
• frequent itemsets, association rules
• clustering

• user preference learning
• web mining
• data preprocessing for mining
• data visualization
• fuzzy logic, probability

Authors are invited to submit an extended abstract, first. Abstracts will be reviewed by the program committee. Accepted papers will be presented on the workshop. After the workshop autors of accepted papers will be invited to submit a full paper. The full papers will be reviewed again by program committee.