Association Models for Web Mining

作者：Paolo Giudici, Robert Castelo

摘要

We describe how statistical association models and, specifically, graphical models, can be usefully employed to model web mining data. We describe some methodological problems related to the implementation of discrete graphical models for web mining data. In particular, we discuss model selection procedures.

论文关键词：Bayesian inference, data mining, graphical models, Markov chain Monte Carlo methods, model selection

论文评审过程：

论文官网地址：https://doi.org/10.1023/A:1011469000311