Network regression with predictive clustering trees

DOI10.1007/s10618-012-0278-6zbMath1260.62050DBLPjournals/datamine/StojanovaCAD12OpenAlexW2077593512WikidataQ62672517 ScholiaQ62672517MaRDI QIDQ1944997

Daniela Stojanova, Sašo Džeroski, Michelangelo Ceci, Annalisa Appice

Publication date: 28 March 2013

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://www.openaccessrepository.it/record/22570

zbMATH Keywords

autocorrelationnetwork dataregression inference

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of graph theory (05C90) Small world graphs, complex networks (graph-theoretic aspects) (05C82)

Related Items (3)

Global multi-output decision trees for interaction prediction ⋮ Ensembles for multi-target regression with random output selections ⋮ Active learning via collective inference in network regression problems

Uses Software

• SLIQ
• C4.5
• BRENT
• TwitterRank
• NetKit
• RIONA

Cites Work

• The computational complexity of probabilistic inference using Bayesian belief networks
• Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Network regression with predictive clustering trees