Dataset for Collective Intelligence Architecture for IoT Using Federated Process Mining

This dataset contains the key elements used in the paper Collective Intelligence Architecture for IoT Using Federated Process Mining which range from complex event processing to process mining applied over multiple datasets. The information included is organized into the following sections:

1.- CEPApp.siddhi: It contains the rules and configurations used for pattern detection and real-time event processing.

2.- ProcessStorage.sol: Smart contract code used in the case study implemented on solidity using Polygon blockchain platform.

3.- Datasets Used ({adlinterweave_dataset, adlmr_dataset, twor_dataset}.zip): Three datasets used in the study, each with events that have been processed using the CEP engine.  The datasets are divided according to the rooms of the house:

_room.csv: CSV file with the data related to the interactions of the room stay.

_bathroom.csv: CSV file with the data related to the interactions of the bathroom stay.

_other.csv: CSV file with the data related to the interactions of the rest of the rooms.

4.- CEP Engine Processing Results ({cepresult_adlinterweave, cepresult_adlmr, cepresult_twor}.json): Output generated by the Siddhi CEP engine, stored in JSON format. The data is categorized into different files based on the type of detected activity:

_room.json: Contains the events related to the stay in the room.

_bathroom.json: Contains the events related to the bathing stay.

_other.json: Contains the events related to the rest of the rooms. 

5.- Federated Event Logs ({xesresult_adlinterweave, xesresult_adlmr, xesresult_twor}.xes): Federated event logs in XES format, standard in process mining. Contains event traces obtained after the execution of the Event Log Integrator.

6.- Process Mining Results: Models generated from the processed event logs:

Process Trees ({procestree_adlinterweave, procestree_adlmr, procestree_twor}.svg): structured representation of the detected workflows.

Petri Nets ({petrinet_adlinterweave, petrinet_adlmr, petrinet_twor}.svg): Mathematical model of the discovered processes, useful for compliance analysis and simulations.

Disco Results ({disco_adlinterweave, disco_adlmr, disco_twor}.pdf): Process models discovered with the Disco tool.

ProM Results ({prom_adlinterweave, prom_adlmr, prom_twor}.pdf): Models generated with ProM tool.