Abstract
Rough set and its method were proposed by Z. Pawlak in 1982. This method enabled up to mine knowledge granules as decision rules from a database, a web base, a set and so on. The decisions rule can be applicable for data analysis as well. And the decision rules to reason, estimate, evaluate, or forecast an unknown object. The objective of this paper is to apply the rough set theory time series data and to mine. Knowledge granules are minded from the data set of tick-wise price fluctuations.
Original language | English |
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Title of host publication | 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 |
Pages | 1768-1771 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2012 |
Event | 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe Duration: 2012 Nov 20 → 2012 Nov 24 |
Other
Other | 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 |
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City | Kobe |
Period | 12/11/20 → 12/11/24 |
Keywords
- rough sets
- tick data
- time-series
ASJC Scopus subject areas
- Artificial Intelligence
- Software