ITEM METADATA RECORD
Title: Probabilistic inductive querying using ProbLog
Authors: De Raedt, Luc
Kimmig, Angelika
Gutmann, Bernd
Kersting, Kristian
Santos Costa, Vitor
Toivonen, Hannu
Issue Date: Jun-2009
Publisher: Department of Computer Science, K.U.Leuven
Series Title: CW Reports vol:CW552
Abstract: 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.
URI: 
Publication status: published
KU Leuven publication type: IR
Appears in Collections:Informatics Section

Files in This Item:
File Description Status SizeFormat
CW552.pdfDocument Published 415KbAdobe PDFView/Open

 


All items in Lirias are protected by copyright, with all rights reserved.