Name
Title | ||
|---|---|---|
Employing local modeling in machine learning based methods for time-series prediction. |
Abstract | ||
|---|---|---|
•Propose a local modeling strategy for time series prediction.•Consider the trend of a time series by the use of hybrid distance.•Proper lags are selected by the use of mutual information.•Develop algorithms to extract training patterns from historical data.•Show the effectiveness of local modeling by experiments on real-world datasets. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.eswa.2014.07.032 | Expert Systems with Applications |
Keywords | Field | DocType |
Time series prediction,Machine learning,Local modeling,Nearest neighbors,Mutual information | Time series,Data mining,Least squares support vector machine,Computer science,Mutual information,Artificial intelligence,Adaptive neuro fuzzy inference system,Artificial neural network,Machine learning,Inference system,Global modeling | Journal |
Volume | Issue | ISSN |
42 | 1 | 0957-4174 |
Citations | PageRank | References |
8 | 0.45 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shin-Fu Wu | 1 | 10 | 0.83 |
| Shie-Jue Lee | 2 | 48 | 5.11 |