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Data Stream Event Prediction Based on Timing Knowledge and State Transitions

Summary: Dynamic knowledge-graph for data streams; uses ephemeral state nodes to encode stream state and predict timing. End-to-end translation-based embeddings for graph construction and prediction; delivers accuracy 0.7-1 and throughput 1k-60k tuples/s on a PC, suitable for edge deployment. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12079
Venue
VLDB
Year
2020
Pagerank
4.1945683e-05
Overall Rank
11,600 | 19.31%
DOI
10.14778/3401960.3401973

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