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  "Title": "Data Quality Assessment for Process-Oriented Data",
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  "Authors@R": "c(\nperson(\"Niels\", \"Martin\", email = \"niels.martin@uhasselt.be\", role = c(\"aut\", \"cre\")),\nperson(\"Greg\", \"Van Houdt\", email = \"greg.vanhoudt@uhasselt.be\", role = \"ctb\"),\nperson(\"Gert\", \"Janssenswillen\", email = \"gert.janssenswillen@uhasselt.be\", role = \"ctb\"))",
  "Description": "Provides a variety of methods to identify data quality\nissues in process-oriented data, which are useful to verify\ndata quality in a process mining context. Builds on the class\nfor activity logs implemented in the package 'bupaR'. Methods\nto identify data quality issues either consider each activity\nlog entry independently (e.g. missing values, activity duration\noutliers,...), or focus on the relation amongst several\nactivity log entries (e.g. batch registrations, violations of\nthe expected activity order,...).",
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  "Repository": "https://bupaverse.r-universe.dev",
  "Date/Publication": "2022-06-07 15:33:03 UTC",
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  "Author": "Niels Martin [aut, cre],\nGreg Van Houdt [ctb],\nGert Janssenswillen [ctb]",
  "Maintainer": "Niels Martin <niels.martin@uhasselt.be>",
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    "extra/citation.json",
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    "activitylog",
    "assign_instance_id",
    "convert_timestamps",
    "detect_activity_frequency_violations",
    "detect_activity_order_violations",
    "detect_attribute_dependencies",
    "detect_case_id_sequence_gaps",
    "detect_conditional_activity_presence",
    "detect_duration_outliers",
    "detect_inactive_periods",
    "detect_incomplete_cases",
    "detect_incorrect_activity_names",
    "detect_missing_values",
    "detect_multiregistration",
    "detect_overlaps",
    "detect_related_activities",
    "detect_resource_inconsistencies",
    "detect_similar_labels",
    "detect_time_anomalies",
    "detect_unique_values",
    "detect_value_range_violations",
    "dmy",
    "dmy_h",
    "dmy_hm",
    "dmy_hms",
    "domain_categorical",
    "domain_numeric",
    "domain_time",
    "duration_within",
    "events_to_activitylog",
    "filter_anomalies",
    "fix",
    "fix_resource_inconsistencies",
    "mdy",
    "mdy_h",
    "mdy_hm",
    "mdy_hms",
    "read_csv",
    "read_csv2",
    "rename",
    "standardize_lifecycle",
    "ymd",
    "ymd_h",
    "ymd_hm",
    "ymd_hms"
  ],
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      "name": "hospital",
      "title": "An activity log of 20 patients in a hospital (data frame)",
      "object": "hospital",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "patient_visit_nr",
        "activity",
        "originator",
        "start_ts",
        "complete_ts",
        "triagecode",
        "specialization"
      ],
      "rows": 53,
      "table": true,
      "tojson": true
    },
    {
      "name": "hospital_actlog",
      "title": "An activity log of 20 patients in a hospital (activity log object)",
      "object": "hospital_actlog",
      "class": [
        "activitylog",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "patient_visit_nr",
        "activity",
        "originator",
        "start",
        "complete",
        "triagecode",
        "specialization"
      ],
      "rows": 53,
      "table": true,
      "tojson": true
    },
    {
      "name": "hospital_events",
      "title": "An event log of 20 patients in a hospital",
      "object": "hospital_events",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "patient_visit_nr",
        "activity",
        "originator",
        "event_lifecycle_state",
        "timestamp",
        "triagecode",
        "specialization",
        "event_matching"
      ],
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      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "daqapo",
      "title": "daqapo - Data Quality Assessment for Process-oriented Data",
      "topics": [
        "daqapo"
      ]
    },
    {
      "page": "detect_activity_frequency_violations",
      "title": "Check activity frequencies",
      "topics": [
        "detect_activity_frequency_violations"
      ]
    },
    {
      "page": "detect_activity_order_violations",
      "title": "Detect activity order violations",
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        "detect_activity_order_violations.activitylog"
      ]
    },
    {
      "page": "detect_attribute_dependencies",
      "title": "Detect dependency violations between attributes",
      "topics": [
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      ]
    },
    {
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      "topics": [
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      ]
    },
    {
      "page": "detect_duration_outliers",
      "title": "Detect activity duration outliers",
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      "title": "Detect inactive periods",
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    {
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      "topics": [
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      "topics": [
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      "title": "Detect value range violations",
      "topics": [
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