antoniobruto / PSIMiner

Miner for Learning Prefix Sequences as Explanations for Events in time-series
GNU General Public License v3.0
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Time-Semantics for Computing Causal Associations #10

Open antoniobruto opened 4 years ago

antoniobruto commented 4 years ago

Existing "eventual" semantics for time can yield broad time ranges that may not accurately capture timing relations. For a sequence: A ##[t1:t2] B, the interval [t1:t2] may be too broad allowing B to move between true and false states many times in the defined interval. Furthermore, the computation of [t1:t2] is based on abstract interpretation techniques that weakens the interval. Is there a better way to reason about time using the present framework based on interval arithmetic?