Probabilistic inductive querying using problog

• Type: Chapter or Part of a Book
• Date: 2010

Authors

De Raedt, L (Author) Other; Kimmig, A (Author) Other; Gutmann, B (Author) Other; Kersting, K (Author) Other; Costa, VS (Author) FCUP; Toivonen, H (Author) Other

Book

Title: Inductive Databases and Constraint-Based Data Mining

Pages: 229-262

ISBN: 9781441977373

Indexing

Scopus - 5 Citations

Other information

Authenticus ID: P-005-4EZ

DOI: 10.1007/978-1-4419-7738-0_10

Abstract (EN): We study how probabilistic reasoning and inductive querying can be combined within ProbLog, a recent probabilistic extension of Prolog. ProbLog can be regarded 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. © 2010 Springer Science+Business Media, LLC.

Language: English

Type (Professor's evaluation): Scientific