Association models for web mining

被引：15

作者：

Giudici, P

Castelo, R

机构：

[1] Univ Pavia, Dipartimento Econ Polit & Metodi Quantitat, Fac Econ, I-27100 Pavia, Italy

[2] Univ Utrecht, NL-3508 TC Utrecht, Netherlands

来源：

DATA MINING AND KNOWLEDGE DISCOVERY | 2001年 / 5卷 / 03期

关键词：

Bayesian inference; data mining; graphical models; Markov chain Monte Carlo methods; model selection;

D O I：

10.1023/A:1011469000311

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：183 / 196

页数：14

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