Probabilistic Inductive Querying Using ProbLog
| Contribuinte(s) |
Dzeroski, Saso Goethals, Bart Panov, Pance University of Helsinki, Department of Computer Science |
|---|---|
| Data(s) |
2010
|
| Resumo |
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. |
| Identificador |
http://hdl.handle.net/10138/24792 978-1-4419-7737-3 978-1-4419-7738-0 |
| Idioma(s) |
eng |
| Publicador |
Springer |
| Relação |
Inductive Databases and Constraint-Based Data Mining |
| Fonte |
De Raedt , L , Kimmig , A , Gutmann , B , Kersting , K , Santos Costa , V & Toivonen , H 2010 , ' Probabilistic Inductive Querying Using ProbLog ' . in S Dzeroski , B Goethals & P Panov (eds) , Inductive Databases and Constraint-Based Data Mining . Springer , pp. 229-262 . , 10.1007/978-1-4419-7738-0 |
| Palavras-Chave | #113 Computer and information sciences |
| Tipo |
A3 Contribution to book/other compilations (refereed) info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion |
