Conrad Indiono

According to our database1, Conrad Indiono authored at least 13 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Hiperfact: In-Memory High Performance Fact Processing - Rethinking the Rete Inference Algorithm.
CoRR, 2020

2018
Evolution of Instance-Spanning Constraints in Process Aware Information Systems.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

2017
The First Data Science Challenge at BTW 2017.
Datenbank-Spektrum, 2017

Dynamic Change Propagation for Process Choreography Instances.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

Multi-criteria Decision Analysis for Change Negotiation in Process Collaborations.
Proceedings of the 21st IEEE International Enterprise Distributed Object Computing Conference, 2017

2016
Collecting Examples for Instance-Spanning Constraints.
CoRR, 2016

Rule-Based Runtime Monitoring of Instance-Spanning Constraints in Process-Aware Information Systems.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

Classification and Formalization of Instance-Spanning Constraints in Process-Driven Applications.
Proceedings of the Business Process Management - 14th International Conference, 2016

2015
Dealing with change in process choreographies: Design and implementation of propagation algorithms.
Inf. Syst., 2015

Change Propagation Analysis and Prediction in Process Choreographies.
Int. J. Cooperative Inf. Syst., 2015

Finding Collective Decisions: Change Negotiation in Collaborative Business Processes.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015

2014
Memetic Algorithms for Mining Change Logs in Process Choreographies.
Proceedings of the Service-Oriented Computing - 12th International Conference, 2014

2012
Data Transformation and Semantic Log Purging for Process Mining.
Proceedings of the Advanced Information Systems Engineering, 2012


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