A survey of Bayesian Data Mining - Part I: Discrete and semi-discrete Data Matrices Number of Authors: 1

1999 (English)Report (Refereed)

Abstract [en]

This tutorial summarises the use of Bayesian analysis and Bayes factors for finding significant properties of discrete (categorical and ordinal) data. It overviews methods for finding dependencies and graphical models, latent variables, robust decision trees and association rules.

Place, publisher, year, edition, pages

Swedish Institute of Computer Science , 1999, 1. , 31 p.

Series

SICS Technical Report, ISSN 1100-3154 ; T99:08

Keyword [en]

Bayes Factor, Graphical Model, Mixture model, Dependency

National Category

Computer and Information Science

Identifiers

URN: urn:nbn:se:ri:diva-21971OAI: oai:DiVA.org:ri-21971DiVA: diva2:1041513

Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

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