The synthetic event log of Table 1 in Delias et al. (2023), used to
illustrate outranking-based trace clustering. It describes 25 fictitious
customers of a service desk with two tiers, "GOLD" and "NORMAL" (the
latter is the "Blue" tier of the paper's narrative). Cases are numbered in
Table 1's order; the last two (case ids "24" and "25") are deliberate
outliers whose flow matches neither tier.
Format
A data frame with 117 rows (events) and 5 columns:
- case_id
Customer identifier,
"1"–"25"(character).- activity
Activity performed (
A–E), in chronological order.- timestamp
Event time (
POSIXct); events are one minute apart.- status
Customer tier,
"GOLD"or"NORMAL".- satisfaction
Registered satisfaction,
"High"or"Low".
Source
Delias, P., Doumpos, M., Grigoroudis, E. and Matsatsinis, N. (2023). Improving the non-compensatory trace-clustering decision process. International Transactions in Operational Research, 30(3), 1387-1406. doi:10.1111/itor.13062 (Table 1).