Application of Systematic Data Mining for Prediction of Biological Quality Indices

Bakhtina, Uliana, Fleischer, Dirk and Jannaschk, Kai (2013) Application of Systematic Data Mining for Prediction of Biological Quality Indices Database and Expert Systems Applications (DEXA), 2013 24th International Workshop on ... IEEE, Los Alamitos, CA, USA, pp. 95-99. ISBN 978-0-7695-5070-1 DOI 10.1109/DEXA.2013.41.

[img] Text
DEXA Proceedings.pdf - Published Version
Restricted to Registered users only

Download (549Kb) | Contact

Supplementary data:

Abstract

Data mining is not only a simple application of an algorithm on the data set. It is rather a systematic approach that is absolutely necessary, if we want to obtain useful and meaningful patterns from data. This paper shows how the usage of systematic data mining can help to simplify the first determination of the quality of marine habitats in the western Baltic Sea. The Benthic Quality Index (BQI) has been introduced within the European Union Water Framework Directive to assess the quality of marine habitats. The index is based on sensitivity/tolerance classification and quantitative information on the composition of soft-bottom macrofauna. The calculation of the index is based on the exact designation of the found taxa

Document Type: Book chapter
Keywords: systematic data mining; classification; decision tree; BQI; splitting criterion
Research affiliation: OceanRep > GEOMAR > ZE Central Facilities > ZE-RZ Data Centre
Kiel University
Refereed: No
DOI etc.: 10.1109/DEXA.2013.41
ISSN: 1529-4188
Date Deposited: 12 Aug 2014 08:17
Last Modified: 06 Jan 2016 14:14
URI: http://eprints.uni-kiel.de/id/eprint/25382

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...