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filter_anomalies()
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Filter anomalies from the activity log |
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hospital
|
An activity log of 20 patients in a hospital (data frame) |
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hospital_events
|
An event log of 20 patients in a hospital |
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detect_incorrect_activity_names()
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Detect incorrect activity names |
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detect_related_activities()
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Detect missing related activities |
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detect_incomplete_cases()
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Detect incomplete cases |
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detect_duration_outliers()
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Detect activity duration outliers |
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detect_multiregistration()
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Detect multi-registration |
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detect_time_anomalies()
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Detect time anomalies |
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detect_attribute_dependencies()
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Detect dependency violations between attributes |
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detect_conditional_activity_presence()
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Detect conditional activity presence violations |
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detect_missing_values()
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Detect missing values |
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detect_value_range_violations()
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Detect value range violations |
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detect_inactive_periods()
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Detect inactive periods |
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detect_case_id_sequence_gaps()
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Detect gaps in case_id |
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detect_unique_values()
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Search for unique values / distinct combinations |
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detect_similar_labels()
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Search for similar labels in a column |
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detect_activity_frequency_violations()
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Check activity frequencies |
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detect_activity_order_violations()
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Detect activity order violations |
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domain_categorical()
|
Define allowable range of values |
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domain_numeric()
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Define allowable range of values |
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domain_time()
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Define allowable time range |
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duration_within()
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Define bounds for activity duration |
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fix()
|
Fix problems |
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detect_overlaps()
|
Detect overlapping acitivity instances |
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daqapo
|
daqapo - Data Quality Assessment for Process-oriented Data |
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hospital_actlog
|
An activity log of 20 patients in a hospital (activity log object) |