Mining Time Series Using Rough Sets - A Case Study
- Poster paper at the 1st European Symposium on Principles of Data Mining and Knowledge Discovery
This article attempts to deal with the problem of time within the framework of rough sets. The rough set theory has emphasized the reduction of information necessary to acquire desired knowledge. This is particularly important when we are dealing with time. The farther back we are tracing our dependencies, the more attributes will become independent of our current decisions.
We formalize approaches to reasoning with time series where the sequence of events is important, and introduce formalisms to deduce decision rules with real-time constraints.
Keywords: Rough sets, Time series
Category: Poster
Status: Accepted at PKDD'97 -- 1st European Symposium on Principles of Data Mining and Knowledge Discovery
Published: 1997, Springer Verlag, Lecture Notes in Artificial Intelligence 1263, pp. 351-358. Editors: Komorowski, Jan and Zytkow, Jan.