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Possibility Measure
Temporal Information
Upper Bound
Probability Mass Function
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Estimation of Uncertain Relations between Indeterminate Temporal Points
Estimation of Uncertain Relations between Indeterminate Temporal Points,10.1007/3540408886_10,Vladimir Ryabov,Seppo Puuronen
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Estimation of Uncertain Relations between Indeterminate Temporal Points
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Vladimir Ryabov
,
Seppo Puuronen
Many database applications need to manage
temporal information
and sometimes to estimate relations between indeterminate temporal points. Indeterminacy means that we do not know exactly when a particular event happened. In this case, temporal points can be defined within some temporal intervals. Measurements of these intervals are not necessarily based on exactly synchronized clocks, and, therefore, possible measurement errors need to be taken into account when estimating the temporal relation between two indeterminate points. This paper presents an approach to calculate the probabilities of the basic relations (before, at the same time, and after) between any two indeterminate temporal points. We assume that the probability mass functions of the values of these two temporal points and the maximum measurement difference between these values are known. Using these assumptions we derive formulas for the lower and the upper bounds of the probabilities of the basic relations between two indeterminate temporal points.
Conference:
Advances in Information Systems  ADVIS
, pp. 108116, 2000
DOI:
10.1007/3540408886_10
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References
(3)
Current Approaches to Handling Imperfect Information in Data and Knowledge Bases
(
Citations: 128
)
Simon Parsons
Journal:
IEEE Transactions on Knowledge and Data Engineering  TKDE
, vol. 8, no. 3, pp. 353372, 1996
Supporting validtime indeterminacy
(
Citations: 105
)
Curtis E. Dyreson
,
Richard Thomas Snodgrass
Journal:
ACM Transactions on Database Systems  TODS
, vol. 23, no. 1, pp. 157, 1998
A probabilistic relational model and algebra
(
Citations: 140
)
Debabrata Dey
,
Sumit Sarkar
Journal:
ACM Transactions on Database Systems  TODS
, vol. 21, no. 3, pp. 339369, 1996
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Citations
(1)
JYVÄSKYLÄ STUDIES IN COMPUTING 24
Vladimir Ryabov