Name
Abstract | ||
|---|---|---|
We address the problem of inferring chemical parameters of river water quality from biological ones. This task is important for enabling selective chemical monitoring of river water quality. We apply machine learning, in particular regression tree induction, to biological and chemical data on the water quality of Slovenian rivers. Regression trees are constructed that predict values of chemical parameters from data on the presence of bioindicator taxa at the species and family levels. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1023/A:1008323212047 | Appl. Intell. |
Keywords | Field | DocType |
bioindicators,machine learning,regression trees,rivers,water quality | Decision tree,Regression,Computer science,Hydrology,Bioindicator,Artificial intelligence,River water,Machine learning,Water quality | Journal |
Volume | Issue | ISSN |
13 | 1 | 1573-7497 |
Citations | PageRank | References |
42 | 2.04 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sašo Džeroski | 1 | 1096 | 90.96 |
| Damjan Demsar | 2 | 50 | 4.22 |
| Jasna Grbović | 3 | 42 | 2.04 |