Inference and Prediction of Uncertain Events in Active Systems: A Language and Execution Model
Summary: Framework and execution model for inference and prediction on uncertain events in active systems, bridging inputs and triggers. Uncertainty-aware specification and execution; survey of related work; directions for data-driven active decision making. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Segev Wasserkrug (IBM; Israel Institute of Technology)
- 2. Opher Etzion (IBM; Israel Institute of Technology)
- 3. Avigdor Gal (Israel Institute of Technology)
BibTeX Citation
@article{wasserkrug_vldb03,
title = {{Inference and Prediction of Uncertain Events in Active Systems: A Language and Execution Model}},
author = {Wasserkrug, Segev and Etzion, Opher and Gal, Avigdor},
journal = {PVLDB},
series = {{VLDB} '03},
year = {2003}
}
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| 612 | Composite Event Specification in Active Databases: Model & Implementation | 1992 | VLDB | 0.00015573929 |
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