Name
Title | ||
|---|---|---|
The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams. |
Abstract | ||
|---|---|---|
•Novel incrementally adapting Fourier classifier is proposed.•Strategy for efficiently computing a synopsis of data is presented.•Novel instance schema pruning method is illustrated.•Proposed approach outperforms existing benchmark stream classifying algorithms. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.12.023 | Expert Systems with Applications |
Keywords | Field | DocType |
Data stream,Ensemble classifier,Discrete Fourier Transform,Concept drift,Fourier spectrum,Feature selection | Data mining,Decision tree,Data stream mining,Feature selection,Data stream,Computer science,Tree (data structure),Fourier transform,Discrete Fourier transform,Classifier (linguistics) | Journal |
Volume | ISSN | Citations |
97 | 0957-4174 | 2 |
PageRank | References | Authors |
0.37 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chamari I. Kithulgoda | 1 | 2 | 0.37 |
| Russel Pears | 2 | 205 | 27.00 |
| M. Asif Naeem | 3 | 102 | 19.73 |