2006

paper

english

EN We present a method of interactive analysis of preference ordered data that is based on Dominance-based Rough Set Approach (DRSA). The presented here methodology is conceptually similar to multi-dimensional reports (pivot tables) applied in On-Line Analytical Processing (OLAP). However, it allows to identify patterns in data that remain undiscovered by traditional approaches to multi-dimensional reporting. The main difference consists in use of specific dimensions and measures defined within DRSA. The method permits to find a set of reports that ensures specified properties of analyzed data and is optimal with respect to a given criterion. An example of reports generated for a well-known breast cancer data set is included.

489 - 498

10.1007/11785231_52

https://link.springer.com/chapter/10.1007/11785231_52

Artificial Intelligence and Soft Computing – ICAISC 2006 : 8th International Conference, Zakopane, Poland, June 25-29, 2006. Proceedings

8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006, 25-29.06.2006, Zakopane, Poland