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Probabilistic inductive querying using problog

: De Raedt, L.; Kimmig, A.; Gutmann, B.; Kersting, K.; Costa, V.S.; Toivonen, H.


Džeroski, S.; Goethals, B.; Panov, P.:
Inductive Databases and Constraint-Based Data Mining
New York: Springer, 2010
ISBN: 978-1-4419-7737-3
Aufsatz in Buch
Fraunhofer IAIS ()

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.