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Temporal Functional Dependencies and Temporal Nodes Bayesian Networks
Author(s) -
Wenyong Liu
Publication year - 2005
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/bxh066
Subject(s) - functional dependency , computer science , temporal database , asynchronous communication , dependency theory (database theory) , dependency (uml) , set (abstract data type) , probabilistic logic , data mining , representation (politics) , bayesian network , relational database , theoretical computer science , artificial intelligence , computer network , politics , political science , law , programming language
A temporal nodes Bayesian network (TNBN) is an alternative graphical representation of temporal probabilistic information.The temporal functional dependency is an important data dependencyin temporal relational databases. In this paper temporal data dependencies are extended into delayed conditions, called asynchronous dependencies. The purpose of this paper is to set up a connection between these asynchronous data dependencies and TNBNs. We show that we can obtain the maximum conditionalin dependencies implied by given temporal functional dependencies. Furthermore, we propose an approach to construct a TNBN from a set of temporal functional dependencies.

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