Name
Title | ||
|---|---|---|
Retrieval Of Similar Time Series With Similarity Degree Of Linguistic Expressions For Global Trend And Local Features |
Abstract | ||
|---|---|---|
We have various kinds of time series such as stock prices. We understand them via their linguistic expressions in a natural language rather than conventional stochastic models. We have proposed a method to extract their linguistic expressions for global trend and local features in a natural language. In this paper we propose a similarity degree of linguistic expressions for retrieving similar time series. And we tune the terms of the temporal axis to have better linguistic expressions. Then we illustrate retrieval of similar time series by our similarity degree. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/FUZZ-IEEE.2012.6251177 | 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) |
Keywords | Field | DocType |
fuzzy sets,pragmatics,pricing,natural language processing,feature extraction,natural languages,time series,time series analysis,stochastic processes | Time series,Pragmatics,Deep linguistic processing,Expression (mathematics),Computer science,Fuzzy set,Natural language processing,Artificial intelligence,Stochastic process,Natural language,Stochastic modelling,Linguistics,Machine learning | Conference |
ISSN | Citations | PageRank |
1098-7584 | 1 | 0.35 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katsutoshi Takahashi | 1 | 179 | 14.14 |
| Motohide Umano | 2 | 183 | 28.91 |