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Probabilistic Reasoning With Facts and Rules in Deductive Databases (1991)
| Content Provider | CiteSeerX |
|---|---|
| Author | Thone, H. Guntzer, U. Kie, W. |
| Description | In this paper we present a new method for probabilistic reasoning with true facts and uncertain rules within a deductive database. Besides a cautious approach to inferences on uncertain rules, we show a default approach for uncertainty reasoning including factual knowledge, based on the ideas of maximal context and detachment. Integrated into a database these approaches support many important applications with probabilistic value dependencies. One sample application will be provided: Lead quali cation within a marketing database. 1. |
| File Format | |
| Language | English |
| Publisher Date | 1991-01-01 |
| Publisher Institution | European Conference on Symbolic and Quantitative Approaches for Uncertainty (ECSQAU |
| Access Restriction | Open |
| Subject Keyword | Probabilistic Value Dependency Uncertain Rule Factual Knowledge True Fact Lead Quali Cation Cautious Approach Many Important Application Sample Application Marketing Database Default Approach Deductive Database Maximal Context New Method |
| Content Type | Text |
| Resource Type | Article |
