Referenced Items are not available for this document.
We define a new fixpoint semantics for rule based reasoning in the presence of weighted information. The semantics is illustrated on a real world application requiring such reasoning. Optimizations and approximations of the semantics are shown so as to make the semantics amenable to very large scale real world applications. We finally prove that the semantics is probabilistic and reduces to the usual fixpoint semantics of stratified Datalog if all information is certain. We implemented various knowledge discovery systems which automatically generate such probabilistic decision rules. In collaboration with a bank in Hong Kong we use one such system to forecast currency exchange rates
Published in:
Knowledge and Data Engineering, IEEE Transactions on
(Volume:7
,
Issue:
5
)
Date of Publication: Oct 1995
- Page(s):
- 691 - 698
- ISSN :
- 1041-4347
- INSPEC Accession Number:
- 5103894
- Digital Object Identifier :
- 10.1109/69.469827
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Oct 1995
- Sponsored by :
- IEEE Computer Society
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