Name
Abstract | ||
|---|---|---|
The prevalence of mobile phones, the internet-of-things technology, and networks of sensors has led to an enormous and ever increasing amount of data that are now more commonly available in a streaming fashion [1]-[5]. Often, it is assumed - either implicitly or explicitly - that the process generating such a stream of data is stationary, that is, the data are drawn from a fixed, albeit unknown pr... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MCI.2015.2471196 | IEEE Computational Intelligence Magazine |
Keywords | Field | DocType |
Feature extraction,Training,Adaptation models,Algorithm design and analysis,Probability distribution,Sensor phenomena and characterization,Learning systems,Biological system modeling,Behavioral science | Algorithm design,Computer science,Data stream,Real-time computing,Feature extraction,Probability distribution,Software,Artificial intelligence,Probabilistic logic,Machine learning | Journal |
Volume | Issue | ISSN |
10 | 4 | 1556-603X |
Citations | PageRank | References |
34 | 1.19 | 95 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gregory Ditzler | 1 | 214 | 16.55 |
| Manuel Roveri | 2 | 272 | 30.19 |
| Cesare Alippi | 3 | 1040 | 115.84 |
| Robi Polikar | 4 | 1296 | 62.93 |