Abstract
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.
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Błaszczyński, J., Dembczyński, K., Słowiński, R. (2006). Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_52
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DOI: https://doi.org/10.1007/11785231_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35748-3
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