Mining information from time series in the form of natural language expressions
- https://doi.org/10.2991/ifsa-eusflat-15.2015.158How to use a DOI?
- Fuzzy natural logic, time series data mining, F-transform, intermediate quantifiers
In this paper, we discuss three tasks of mining information from time series, namely finding intervals with monotonous trend, evaluation of it in sentences of natural language, and summarizing information using intermediate quantifiers. The mined information is presented in simple sentences of natural language. For estimation of the trend of time series, we apply the theory of first-degree F-transform. For generating sentences of natural language we apply the formal theory of fuzzy natural logic. Then the former are obtained by interpretation of special formulas.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Vilém Novák PY - 2015/06 DA - 2015/06 TI - Mining information from time series in the form of natural language expressions BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 1119 EP - 1125 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.158 DO - https://doi.org/10.2991/ifsa-eusflat-15.2015.158 ID - Novák2015/06 ER -