pm4py.algo.conformance.temporal_profile.variants.log module#

PM4Py – A Process Mining Library for Python Copyright (C) 2026 Process Intelligence Solutions GmbH

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.algo.conformance.temporal_profile.variants.log.Parameters(*values)[source]#

Bases: Enum

ACTIVITY_KEY = 'pm4py:param:activity_key'#
START_TIMESTAMP_KEY = 'pm4py:param:start_timestamp_key'#
TIMESTAMP_KEY = 'pm4py:param:timestamp_key'#
ZETA = 'zeta'#
BUSINESS_HOURS = 'business_hours'#
BUSINESS_HOUR_SLOTS = 'business_hour_slots'#
WORKCALENDAR = 'workcalendar'#
pm4py.algo.conformance.temporal_profile.variants.log.apply(log: EventLog, temporal_profile: Dict[Tuple[str, str], Tuple[float, float]], parameters: Dict[Any, Any] | None = None) → List[List[Tuple[float, float, float, float]]][source]#

Checks the conformance of the log using the provided temporal profile.

Implements the approach described in: Stertz, Florian, Jürgen Mangler, and Stefanie Rinderle-Ma. “Temporal Conformance Checking at Runtime based on Time-infused Process Models.” arXiv preprint arXiv:2008.07262 (2020).

Parameters:

  • log – Event log

  • temporal_profile – Temporal profile

  • parameters – Parameters of the algorithm, including:

    • Parameters.ACTIVITY_KEY: the attribute to use as activity

    • Parameters.START_TIMESTAMP_KEY: the attribute to use as start timestamp

    • Parameters.TIMESTAMP_KEY: the attribute to use as timestamp

    • Parameters.ZETA: multiplier for the standard deviation

    • Parameters.BUSINESS_HOURS: calculates the difference of time based on the business hours, not the total time (Default: False).

    • Parameters.BUSINESS_HOURS_SLOTS => work schedule of the company. The following list defines that business hours are Mondays 07:00 - 17:00 and Tuesdays 07:00 - 12:00 and 13:00 - 17:00:

      [
    (7 * 60 * 60, 17 * 60 * 60),
    ((24 + 7) * 60 * 60, (24 + 12) * 60 * 60),
    ((24 + 13) * 60 * 60, (24 + 17) * 60 * 60),
]
Returns:

A list containing, for each trace, all the deviations. Each deviation is a tuple with four elements:

    1. The source activity of the recorded deviation

    1. The target activity of the recorded deviation

    1. The time passed between the occurrence of the source activity and the target activity

    1. The value of (time passed - mean)/std for this occurrence (zeta).

Return type:

list_dev