Arik Senderovich

Orcid: 0000-0003-4728-8024

According to our database1, Arik Senderovich authored at least 53 papers between 2014 and 2024.

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Bibliography

2024
Measuring rule-based LTLf process specifications: A probabilistic data-driven approach.
Inf. Syst., February, 2024

Evaluation datasets and results of the paper "A Framework for Measuring the Quality of Business Process Simulation Models".
Dataset, January, 2024

2023
Evaluation datasets and results of the paper "Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models".
Dataset, March, 2023

Agent Miner: An Algorithm for Discovering Agent Systems from Event Data.
Proceedings of the Business Process Management - 21st International Conference, 2023

Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models.
Proceedings of the Business Process Management - 21st International Conference, 2023

Privacy Attacks on Schedule-Driven Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Process discovery with context-aware process trees.
Inf. Syst., 2022

Can machines solve general queueing systems?
CoRR, 2022

Exploiting Hardware and Software Advances for Quadratic Models of Wind Farm Layout Optimization.
IEEE Access, 2022

Can Machines Solve General Queueing Problems?
Proceedings of the Winter Simulation Conference, 2022

Measurement of Rule-based LTLf Declarative Process Specifications.
Proceedings of the 4th International Conference on Process Mining, 2022

Transformer Models for Activity Mining in Knowledge-Intensive Processes.
Proceedings of the Business Process Management Workshops, 2022

2021
Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks.
Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

Automation, control, and analysis of knowledge-intensive processes.
Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

Cut to the Trace! Process-Aware Partitioning of Long-Running Cases in Customer Journey Logs.
Proceedings of the Advanced Information Systems Engineering, 2021

2020
Interval-based Queries over Lossy IoT Event Streams.
Trans. Data Sci., 2020

Queueing Inference for Process Performance Analysis with Missing Life-Cycle Data.
Proceedings of the 2nd International Conference on Process Mining, 2020

An Ising Framework for Constrained Clustering on Special Purpose Hardware.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2020

Socially-Aware Business Process Redesign.
Proceedings of the Business Process Management - 18th International Conference, 2020

Process Minding: Closing the Big Data Gap.
Proceedings of the Business Process Management - 18th International Conference, 2020

2019
Queue Mining.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Context-aware temporal network representation of event logs: Model and methods for process performance analysis.
Inf. Syst., 2019

From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring.
Inf. Syst., 2019

Inductive Context-aware Process Discovery.
Proceedings of the International Conference on Process Mining, 2019

Learning Scheduling Models from Event Data.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

Congestion Graphs for Automated Time Predictions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
REMI: A framework of reusable elements for mining heterogeneous data with missing information - A Tale of Congestion in Two Smart Cities.
J. Intell. Inf. Syst., 2018

Challenge Paper: Data Quality Issues in Queue Mining.
ACM J. Data Inf. Qual., 2018

To aggregate or to eliminate? Optimal model simplification for improved process performance prediction.
Inf. Syst., 2018

Online Temporal Analysis of Complex Systems Using IoT Data Sensing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Fusion-Based Process Discovery.
Proceedings of the Advanced Information Systems Engineering, 2018

How Much Event Data Is Enough? A Statistical Framework for Process Discovery.
Proceedings of the Advanced Information Systems Engineering, 2018

2017
Traveling time prediction in scheduled transportation with journey segments.
Inf. Syst., 2017

REMI, Reusable Elements for Multi-Level Information Availability: Demo.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

Temporal Network Representation of Event Logs for Improved Performance Modelling in Business Processes.
Proceedings of the Business Process Management - 15th International Conference, 2017

Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions.
Proceedings of the Business Process Management - 15th International Conference, 2017

Queue Mining: Service Perspectives in Process Mining.
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), 2017

EDU-ProM: ProM for the Classroom.
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), 2017

2016
Conformance Checking and Performance Improvement in Scheduled Processes: A Queueing-Network Perspective.
EMISA Forum, 2016

In Log and Model We Trust?
EMISA Forum, 2016

Conformance Checking and Performance Improvement in Scheduled Processes: A Queueing-Network Perspective (Extended Abstract).
Proceedings of the 7th International Workshop on Enterprise Modeling and Information Systems Architectures, 2016

In Log and Model We Trust? (Extended Abstract).
Proceedings of the 7th International Workshop on Enterprise Modeling and Information Systems Architectures, 2016

The ROAD from Sensor Data to Process Instances via Interaction Mining.
Proceedings of the Advanced Information Systems Engineering, 2016

P ^3 -Folder: Optimal Model Simplification for Improving Accuracy in Process Performance Prediction.
Proceedings of the Business Process Management - 14th International Conference, 2016

In Log and Model We Trust? A Generalized Conformance Checking Framework.
Proceedings of the Business Process Management - 14th International Conference, 2016

2015
Queue mining for delay prediction in multi-class service processes.
Inf. Syst., 2015

On Predicting Traveling Times in Scheduled Transportation (Extended Abstract).
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Discovery and Validation of Queueing Networks in Scheduled Processes.
Proceedings of the Advanced Information Systems Engineering, 2015

Data-Driven Performance Analysis of Scheduled Processes.
Proceedings of the Business Process Management - 13th International Conference, 2015

Discovering Queues from Event Logs with Varying Levels of Information.
Proceedings of the Business Process Management Workshops - BPM 2015, 13th International Workshops, Innsbruck, Austria, August 31, 2015

2014
Queue Mining - Predicting Delays in Service Processes.
Proceedings of the Advanced Information Systems Engineering, 2014

Mining Resource Scheduling Protocols.
Proceedings of the Business Process Management - 12th International Conference, 2014

Service Analysis and Simulation in Process Mining.
Proceedings of the Business Process Management Workshops, 2014


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