ALBERT — All Library Books, journals and Electronic Records Telegrafenberg

Hits per page

hit 1 - 1 | 1 hit

Sorting

Electronic Resource

Predicting Chemical Parameters of River Water Quality from Bioindicator Data (2000)

Džeroski, Sašo ; Demšar, Damjan ; Grbović, Jasna

Springer

Applied intelligence 13 (2000), S. 7-17

add to mindlist on the mindlist

Details

ISSN: 1573-7497

Keywords: bioindicators ; machine learning ; regression trees ; rivers ; water quality

Source: Springer Online Journal Archives 1860-2000

Topics: Computer Science

Notes: 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.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1023/A:1008323212047

Permalink

	Location	Call Number	Expected	Availability

Others were also interested in ...

Paper (German National Licenses)

Fulltext

hit 1 - 1 | 1 hit