Generalized additive multi-mixture model for data mining-Reference-Cited by-同舟云学术

Generalized additive multi-mixture model for data mining

Published:2002-02 Issue:4 Volume:38 Page:487-500
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Conversano Claudio,Siciliano Roberta,Mola Francesco

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference17 articles.

1. Blake, C.L., Mertz, C.J., 1998. UCI repository of machine learning databases, http://www.ics.uci.edu.

2. Bagging predictors;Breiman;Machine Learning,1996

3. Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J., 1984. Classification and Regression Trees, Belmont C.C. Wadsworth.

4. Conversano, C., 2000. Semiparametric models for supervised classification and prediction. Some proposals for model integration and estimation procedures (in Italian), Ph.D. Thesis, Computational Statistics and Data Analysis, University of Naples Federico II.

5. Semi-parametric models for data mining;Conversano,2000

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intrusion detection using neural based hybrid classification methods;Computer Networks;2011-06

2. A hybrid classification method using error pattern modeling;Expert Systems with Applications;2008-01

3. Smoothing Score Algorithm for Generalized Additive Models;Studies in Classification, Data Analysis, and Knowledge Organization;2004

4. Bagged Mixtures of Classifiers using Model Scoring Criteria;Pattern Analysis and Applications;2002-10