Senderovich et al. 2017 — Intra- and Inter-Case Features

Foundational paper establishing inter-case features as a first-class concern in PPM. Targets remaining-time prediction specifically but the feature-encoding idea generalises.

Contribution

Bi-dimensional state-space feature encoding:
- Intra-case — per-trace history (standard PPM features).
- Inter-case — system state at the prefix cutoff: active cases, resource workload, queue lengths.
Case-type partitioning — clusters of cases sharing the same state characteristics — keeps the feature space compact.
Demonstrates large accuracy gains on two real-life logs.

Significance

Directly cited as foundation for concepts/inter-case-ppm. Resurfaces in the APM Manifesto (queue-mining cited in passing) and in subsequent neural PPM work that bolts inter-case features onto LSTM/Transformer architectures.

Connections

Concepts: concepts/inter-case-ppm · concepts/remaining-time-prediction · concepts/trace-encoding Authors: entities/arik-senderovich · entities/chiara-di-francescomarino · entities/fabrizio-maggi