Time Series Mining by Fuzzy Natural Logic and F-Transform
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F14%3AA1701C0L" target="_blank" >RIV/61988987:17610/14:A1701C0L - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Time Series Mining by Fuzzy Natural Logic and F-Transform
Original language description
In this paper, we discuss application of special soft computing methods, namely the fuzzy natural logic and fuzzy transform, to the problem of mining information from time series. The mined information is formulated in natural language. We discuss the following applications: reduction of size of time series, extraction of its trend-cycle, linguistic characterization of its future course and forecast of future values, finding perceptionally important points, extraction and linguistic evaluation of local trend in a given area, and summarization of characteristics of time series using generalized intermediate quantifiers.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. 48th Hawaii International Conference on System Sciences
ISBN
978-1-4799-7367-5
ISSN
1530-1605
e-ISSN
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Number of pages
10
Pages from-to
1493-1502
Publisher name
IEEE Computer Society, CPS
Place of publication
Kauai, USA
Event location
Kauai
Event date
Jan 5, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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