--- title: "Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes" type: source tags: [ppm, outcome-prediction, encoding, data-aware, foundational] authors: [Leontjeva Anna; Conforti Raffaele; Di Francescomarino Chiara; Dumas Marlon; Maggi Fabrizio Maria] year: 2015 venue: "BPM 2015, LNCS 9253, Springer" kind: paper raw_path: "raw/Predictive process monitoring/Complex symbolic sequence encodings for predictive monitoring of business processes BPM2014.pdf" created: 2026-04-13 updated: 2026-04-13 key_claims: - Traces should be treated as complex symbolic sequences — sequences of events each carrying a data payload — not just sequences of event labels. - Several encoding schemes (boolean, frequency, index-based, HMM) are systematically compared for outcome-prediction accuracy. - Accounting for the data payload materially improves predictive accuracy on real-life logs. --- # Leontjeva et al. 2015 — Complex Symbolic Sequence Encodings Foundational paper on [[concepts/trace-encoding|trace encodings]] for [[concepts/outcome-prediction|outcome prediction]]. Systematically compares encoding schemes on real logs — establishes the taxonomy of encodings that subsequent PPM surveys adopt. ## Contribution - Frames traces as **complex symbolic sequences** — preserving both activity labels and per-event data payload. - Compares encodings: - **Boolean** (activity occurrence) - **Frequency** (activity counts) - **Simple index-based** (first / last / sliding-window) - **Complex index-based** (one attribute block per position) - **HMM-based** - Outcome = binary classification (positive vs negative business outcome). ## Significance Sets the **encoding taxonomy** later cited by Teinemaa et al.'s outcome-PPM benchmark ([[sources/2016-teinemaa-outcome-ppm-review]]) and the Verenich survey ([[sources/2019-verenich-survey-ppm]]). Establishes that data-aware encodings beat control-flow-only encodings — a claim echoed by all subsequent neural PPM work. ## Connections **Concepts:** [[concepts/trace-encoding]] · [[concepts/outcome-prediction]] · [[concepts/predictive-process-monitoring]] **Authors:** [[entities/chiara-di-francescomarino]] · [[entities/marlon-dumas]] · [[entities/fabrizio-maggi]]