# Estimation of Uncertain Relations between Indeterminate Temporal Points

@inproceedings{Ryabov2000EstimationOU, title={Estimation of Uncertain Relations between Indeterminate Temporal Points}, author={Vladimir Ryabov and Seppo Puuronen}, booktitle={ADVIS}, year={2000} }

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…

## 2 Citations

Sequential pattern mining with uncertain data

- Computer Science
- 2016

This work uses a motivating example of sequential pattern mining to illustrate how to incorporate uncertain information in the process of data mining, and uses possible world semantics to interpret two typical types of uncertainty: the tuple-level existential uncertainty and the attribute-level temporal uncertainty.

Handling imperfect temporal relations

- Physics
- 2002

Ryabov, Vladimir Handling Imperfect Temporal Relations Jyväskylasta Studies in Computing, 2002, 75 p.

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