Improving Markov Chain Monte Carlo Model Search for Data Mining

作者：Paolo Giudici, Robert Castelo

摘要

The motivation of this paper is the application of MCMC model scoring procedures to data mining problems, involving a large number of competing models and other relevant model choice aspects.

论文关键词：Bayesian structural learning, convergence diagnostics, Dirichlet distribution, market basket analysis, Markov chain Monte Carlo

论文评审过程：

论文官网地址：https://doi.org/10.1023/A:1020202028934