Multistrategy Data Exploration Using the INLEN System: Recent Advances

Recent advances in the development of the INLEN system for multistrategy data exploration are briefly reviewed. These advances include the development of a meta-level language for data mining and knowledge discovery, called knowledge generation language (KGL), and the employment of a new type of attributes, called structured attributes. These features are illustrated by an example concerned with determining economic and demographic patterns in a database containing facts about the countries of the world. The results demonstrate a high utility of INLEN for data mining and knowledge discovery.