PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Probabilistic Inductive Querying Using ProbLog
Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vitor Santos Costa and Hannu Toivonen
In: Inductive Databases and Constraint-Based Data Mining (2010) Springer , pp. 229-262. ISBN 978-1-4419-7737-3

Abstract

We study how probabilistic reasoning and inductive querying can be com- bined within ProbLog, a recent probabilistic extension of Prolog. ProbLog can be re- garded as a database system that supports both probabilistic and inductive reasoning through a variety of querying mechanisms. After a short introduction to ProbLog, we provide a survey of the different types of inductive queries that ProbLog supports, and show how it can be applied to the mining of large biological networks.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:7891
Deposited By:Hannu Toivonen
Deposited On:17 March 2011