his.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Feature vs. Classifier Fusion for Predictive Data Mining: a Case Study in Pesticide Classification
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
2007 (Engelska)Ingår i: 10th International Conference on Information Fusion, 2007, IEEE Press, 2007, s. 1-7Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Two strategies for fusing information from multiple sources when generating predictive models in the domain of pesticide classification are investigated: i) fusing different sets of features (molecular descriptors) before building a model and ii) fusing the classifiers built from the individual descriptor sets. An empirical investigation demonstrates that the choice of strategy can have a significant impact on the predictive performance. Furthermore, the experiment shows that the best strategy is dependent on the type of predictive model considered. When generating a decision tree for pesticide classification, a statistically significant difference in accuracy is observed in favor of combining predictions from the individual models compared to generating a single model from the fused set of molecular descriptors. On the other hand, when the model consists of an ensemble of decision trees, a statistically significant difference in accuracy is observed in favor of building the model from the fused set of descriptors compared to fusing ensemble models built from the individual sources.

Ort, förlag, år, upplaga, sidor
IEEE Press, 2007. s. 1-7
Forskningsämne
Teknik
Identifikatorer
URN: urn:nbn:se:his:diva-2098DOI: 10.1109/ICIF.2007.4408024ISI: 000256950200061Scopus ID: 2-s2.0-50149091969ISBN: 978-0-662-45804-3 OAI: oai:DiVA.org:his-2098DiVA, id: diva2:32374
Konferens
FUSION 2007 - 2007 10th International Conference on Information Fusion;Quebec, QC;9 July 2007through12 July 2007
Tillgänglig från: 2008-05-30 Skapad: 2008-05-30 Senast uppdaterad: 2017-11-27

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopushttp://www.ieeexplore.ieee.org/iel5/4407957/4407958/04408024.pdf?tp=&isnumber=4407958&arnumber=4408024

Personposter BETA

Boström, Henrik

Sök vidare i DiVA

Av författaren/redaktören
Boström, Henrik
Av organisationen
Institutionen för kommunikation och informationForskningscentrum för Informationsteknologi

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 278 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf