Name
Title | ||
|---|---|---|
Reconfiguring existing pollutant monitoring stations by increasing the value of the gathered information. |
Abstract | ||
|---|---|---|
The objective of this study is to provide a framework for relocating or reconfiguring existing pollution monitoring station networks by using feature selection and data mining techniques. This methodology enables a partial redesign based on the maximization of the available information that is gathered by the pollution networks by the optimal data mining technique. It also considers requirements of the decision makers, like potential target places, etc. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.envsoft.2017.06.034 | Environmental Modelling & Software |
Keywords | Field | DocType |
Pollution forecasting,Monitoring networks reconfigure,Data mining,Feature selection,Case study | Audit,Feature selection,Computer science,Operations research,Pollution,Pollutant,Maximization | Journal |
Volume | Issue | ISSN |
96 | C | 1364-8152 |
Citations | PageRank | References |
0 | 0.34 | 28 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gong Bing | 1 | 0 | 0.34 |
| Joaquín Ordieres-Meré | 2 | 102 | 14.39 |