pm4js
Version:
Process Mining for Javascript
106 lines (95 loc) • 5.59 kB
Markdown
# pm4js-core
### Process Mining for Javascript - Core Package
PM4Js is a library for process mining in Javascript. The execution is supported in modern browsers (Chrome, ...) and Node.JS
### Install
#### Browser
Include the script **dist/pm4js_latest.js** in your web page to use the functionalities of PM4Js.
#### Node (package)
Install pm4js by doing **npm install -g pm4js**. Then, PM4Js can be used in Node by doing:
**require('pm4js')**.
#### Node (local installation)
Clone the Git project, and install the required packages by doing **npm install**. Then, PM4Js can be used in Node by doing:
**require('./init.js')**.
### Documentation
Extensive documentation is available [here](./DOCS.md).
Some examples are included in the **examples/html** folder (HTML pages) and **examples/node** folder (Node.JS examples).
### Features
The library currently offers the following set of features:
* Objects
* [Working with Event Logs](./DOCS.md#working-with-event-logs)
* [Importing XES logs](./DOCS.md#importing-xes-logs)
* [Importing CSV logs](./DOCS.md#importing-csv-logs)
* [Exporting XES logs](./DOCS.md#exporting-xes-logs)
* [Exporting CSV logs](./DOCS.md#exporting-csv-logs)
* [Conversion to Event Stream](./DOCS.md#conversion-to-event-stream)
* Petri Nets
* [Data Structure](./DOCS.md#petri-nets---data-structure)
* [Creation of a Petri net](./DOCS.md#petri-nets---creation-of-a-petri-net)
* [Execution Semantics](./DOCS.md#petri-nets---execution-semantics)
* [Importing Exporting](./DOCS.md#petri-nets---importing-exporting)
* [Visualization (vanilla Graphviz)](./DOCS.md#petri-nets---visualization-vanilla-graphviz)
* Process Trees
* [Data Structure](./DOCS.md#process-trees---data-structure)
* [Importing](./DOCS.md#process-trees---importing)
* [Exporting](./DOCS.md#process-trees---exporting)
* [Visualization (vanilla Graphviz)](./DOCS.md#process-trees---visualization-vanilla-graphviz)
* [Conversion to an accepting Petri net](./DOCS.md#process-trees---conversion-to-an-accepting-petri-net)
* Directly-Follows Graphs
* [Frequency DFG](./DOCS.md#frequency-dfg)
* [Performance DFG](./DOCS.md#performance-dfg)
* [Importing a Frequency DFG](./DOCS.md#importing-a-frequency-dfg)
* [Exporting a Frequency DFG](./DOCS.md#exporting-a-frequency-dfg)
* [DFG capacity maximization](./DOCS.md#dfg-capacity-maximization)
* BPMN
* [BPMN objects](./DOCS.md#bpmn-objects)
* [Importing BPMN](./DOCS.md#importing-bpmn)
* [Exporting BPMN](./DOCS.md#exporting-bpmn)
* [Converting a BPMN to an accepting Petri net](./DOCS.md#converting-a-bpmn-to-an-accepting-petri-net)
* [Converting an accepting Petri net to BPMN](./DOCS.md#converting-an-accepting-petri-net-to-bpmn)
* OCEL
* [Supported Formats](./DOCS.md#supported-formats)
* [Importing OCEL](./DOCS.md#importing-ocel)
* [Exporting OCEL](./DOCS.md#exporting-ocel)
* [Flattening OCEL](./DOCS.md#flattening-ocel)
* [Statistics on OCEL](./DOCS.md#statistics-on-ocel)
* [Business Hours configuration](./DOCS.md#business-hours-configuration)
* Algorithms
* Process Discovery
* [Inductive Miner](./DOCS.md#inductive-miner)
* [Inductive Miner Directly Follows](./DOCS.md#inductive-miner-directly-follows)
* [Log Skeleton](./DOCS.md#log-skeleton)
* [Directly Follows Graphs](./DOCS.md#directly-follows-graphs)
* [Temporal Profile Discovery](./DOCS.md#temporal-profile-discovery)
* Conformance Checking
* [Token-Based Replay](./DOCS.md#token-based-replay)
* [Alignments on Petri nets](./DOCS.md#alignments-on-petri-nets)
* [Alignments on Directly Follows Graphs](./DOCS.md#alignments-on-directly-follows-graphs)
* [Conformance Checking using the Log Skeleton](./DOCS.md#conformance-checking-using-the-log-skeleton)
* [Temporal Profile Conformance Checking](./DOCS.md#temporal-profile-conformance-checking)
* Evaluation
* [Replay Fitness of Petri nets](./DOCS.md#replay-fitness-of-petri-nets)
* [ETConformance precision of Petri nets](./DOCS.md#etconformance-precision-of-petri-nets)
* [Generalization of Petri nets](./DOCS.md#generalization-of-petri-nets)
* [Simplicity of Petri nets](./DOCS.md#simplicity-of-petri-nets)
* Filtering
* [Filtering Event Logs](./DOCS.md#filtering-event-logs)
* [Sliding Directly Follows Graphs](./DOCS.md#sliding-directly-follows-graphs)
* Simulation
* [Playout of a DFG](./DOCS.md#playout-of-a-dfg)
* Feature Extraction
* [Feature Extraction on Event Logs](./DOCS.md#feature-extraction-on-event-logs)
* [Object Based Feature Extraction on Object Centric Event Logs](./DOCS.md#object-based-feature-extraction-on-object-centric-event-logs)
* [Event Based Feature Extraction on Object Centric Event Logs](./DOCS.md#event-based-feature-extraction-on-object-centric-event-logs)
* [Interval Analysis](./DOCS.md#interval-analysis)
* Network Analysis
* [Link Analysis on Event Logs](./DOCS.md#link-analysis-on-event-logs)
* [Network Analysis Algorithm](./DOCS.md#network-analysis-algorithm)
* Statistics
* Log
* [General Statistics](./DOCS.md#log---general-statistics)
* Support for Celonis
* [Celonis Connector](./DOCS.md#celonis-connector)
* [Traditional Celonis Wrapper](./DOCS.md#traditional-celonis-wrapper)
* [Object Centric Celonis Wrapper](./DOCS.md#object-centric-celonis-wrapper)
### Support
Support is provided by mail at the following mail address: [Alessandro Berti](mailto:a.berti@pads.rwth-aachen.de).