Editorial: Machine learning and robust data mining

DOI10.1016/j.csda.2007.06.013zbMath1452.00020OpenAlexW2087891561MaRDI QIDQ1020795

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Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.06.013

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Robustness and adaptive procedures (parametric inference) (62F35) Proceedings, conferences, collections, etc. pertaining to statistics (62-06) Learning and adaptive systems in artificial intelligence (68T05) Collections of articles of miscellaneous specific interest (00B15)

Related Items (4)

A fast and recursive algorithm for clustering large datasets with \(k\)-medians ⋮ A review of robust clustering methods ⋮ Special issue on variable selection and robust procedures ⋮ Special issue on robust analysis of complex data

Uses Software

• R
• CLUES
• robustbase
• WaveSpect0
• ElemStatLearn
• SABoost

Cites Work

• Robust fitting of mixtures using the trimmed likelihood estimator
• Implementing the Bianco and Yohai estimator for logistic regression
• PCA and PLS with very large data sets
• A robust testing procedure for the equality of covariance matrices
• Boosting and instability for regression trees
• Robust Box-Cox transformations based on minimum residual autocorrelation
• Robust weighted LAD regression
• Robust estimation of dimension reduction space
• Data mining based Bayesian networks for best classification
• Algorithms and applications for approximate nonnegative matrix factorization
• Updating the partial singular value decomposition in latent semantic indexing
• Continuum isomap for manifold learnings
• Constrained unidimensional scaling with application to genomics
• Wavelet-based procedures for proteomic mass spectrometry data processing
• On rank tests for shift detection in time series
• On a robust modification of Breslow's cumulated hazard estimator
• Building a robust linear model with forward selection and stepwise procedures
• Robust variable selection using least angle regression and elemental set sampling
• Cluster-wise assessment of cluster stability
• Exploratory tools for clustering multivariate data
• CLUES: a non-parametric clustering method based on local shrinking
• Kernel ellipsoidal trimming
• A stochastic approximation view of boosting
• Model selection for support vector machines via uniform design
• Robust learning from bites for data mining
• Trimmed bagging
• Mining the customer credit using classification and regression tree and multivariate adaptive regression splines
• Robust Statistics
• The elements of statistical learning. Data mining, inference, and prediction
• Stochastic gradient boosting.

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