Mining information from time series in the form of natural language expressions

DOI

10.2991/ifsa-eusflat-15.2015.158How to use a DOI?

Keywords

Fuzzy natural logic, time series data mining, F-transform, intermediate quantifiers

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/ifsa-eusflat-15.2015.158
ID  - Novák2015/06
ER  -