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Table2XLog Converter

Dummy version 1.0.0.v202003051301 by PADS RWTH Aachen

This node converts a Data Table from KNIME platform into an event log PortObject. CaseID, Event class, time stamp and format are mandatory to set up in the first table; In table "Choose Attribute Set", other attributes for traces and events are set optional due to the need. In Expert Choice, it lists the strategy to handle error, empty cells and the XFactory to create event log.

Options

Standard Options

Case ID
Choose one column as caseID for the event log
Eventclass
Choose one column as eventID for the event log
Life Cycle
Choose one column as life cycle for the event log. If there is no such column, choose the option NO AVAILABLE.
Time Stamp
Choose one column as time stamp for events in the event log. It should be in format of ZonedDateTime or DateTime format. Else, the configuration error is given.

Choose Attributes Set

Trace Attributes
Choose table columns as trace attributes. For all events with in one trace, they are supposed to have the same values for each trace attributes. Else, it will omit this trace in the event log. Values from included columns will be shown as the attributes for each trace. Please make sure the columns chosen in "Standard Options" are included; else, it will give the InvalidConfiguration Error.
Event Attributes
Choose table columns as event attributes. Values from included columns will be shonw as the attributes for event. Please make sure the columns chosen in "Standard Options" are included; else, it will give the InvalidConfiguration Error.

Expert Choice

XFactory
XFactory implementation that is used to create the log. Some implementations might be more memory efficient, consider changing this in case you import a huge log. Additional Conversion Options (Defaults are a good guess)
Error Handling
The strategy to stop conversion upon malformed input or try to import as much as possible.
Sparse / Dense Log
This affects how empty cells in the CSV are handled. Exclude (sparse) or include (dense) empty cells in the conversion. Some plug-ins require the log to be dense, i.e., all attributes are defined for each event. In other cases it might be more efficient or even required to only add attributes to events if the attributes actually contain data.

Input Ports

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A Data Table in KNIME

Output Ports

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The event log converted from Data Table.

Best Friends (Incoming)

Best Friends (Outgoing)

Installation

To use this node in KNIME, install Process Mining Extension from the following update site:

KNIME 4.3

A zipped version of the software site can be downloaded here.

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Developers

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