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. © 2010 Springer Science+Business Media, LLC.
Cite
CITATION STYLE
De Raedt, L., Kimmig, A., Gutmann, B., Kersting, K., Costa, V. S., & Toivonen, H. (2010). Probabilistic inductive querying using problog. In Inductive Databases and Constraint-Based Data Mining (pp. 229–262). Springer New York. https://doi.org/10.1007/978-1-4419-7738-0_10
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
