Name
Abstract | ||
|---|---|---|
Based on a critical analysis of data analytics and its foundations, we propose a functional approach to estimate data ensemble properties, which is based entirely on the empirical observations of discrete data samples and the relative proximity of these points in the data space and hence named empirical data analysis (EDA). The ensemble functions include the nonparametric square centrality (a meas... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2753880 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Data analysis,Random variables,Probability density function,Cybernetics,Graph theory,Data mining | Graph theory,Random variable,Data analysis,Inference,Algorithm,Nonparametric statistics,Artificial intelligence,Probability density function,Mathematics,Machine learning,Estimator,Randomness | Journal |
Volume | Issue | ISSN |
48 | 10 | 2168-2267 |
Citations | PageRank | References |
14 | 0.59 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Plamen P. Angelov | 1 | 473 | 27.83 |
| Xiaowei Gu | 2 | 99 | 10.96 |
| José C. Principe | 3 | 46 | 5.08 |