PUBLICATIONS

Journal Articles

From Knowledge-Driven to Data-Driven Inter-Case Feature Encoding in Predictive Process Monitoring

Arik Senderovich, Fabrizio Maria Maggi, Chiara Di Francescomarino

Information Systems, Volume 84, September 2019, Pages 255-264

Keywords: Predictive process monitoring; Inter-case predictions; Knowledge-driven encoding; Data-driven encoding

Abstract

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Interval-based Queries over Lossy IoT Event Streams

Nimrod Busany, Han van der Aa, Arik Senderovich, Avigdor Gal, Matthias Weidlich,

ACM/IMS Transcations on Data Science, May 2020

Abstract

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Context-Aware Temporal Network Representation of Event Logs: Model and Methods for Process Performance Analysis

Arik Senderovich, Matthias Weidlich, Avigdor Gal

Information Systems, Volume 84, September 2019, Pages 240-254

Keywords: Temporal network representation; Allen’s algebra; Process discovery; Inductive mining; Congestion learning

Abstract

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Challenge Paper: Data Quality Issues in Queue Mining

Avigdor Gal , Arik Senderovich, Matthias Weidlich

Journal of Data and Information Quality, Volume 9(4), November 2018, Pages 18:1-18:5

Keywords: Process mining, Quene mining

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REMI: A framework of reusable elements for mining heterogeneous data with missing information – A Tale of Congestion in Two Smart Cities

Avigdor Gal, Dimitrios Gunopulos, Nikolaos Panagiotou, Nicolo Rivetti, Arik Senderovich, Nikolas Zygouras

Journal of Intelligent Information Systems, Volume 51(2), 2018, Pages 367-388

Keywords: Reusable elements, Mining, Complex patterns, Graceful degradation

Abstract

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To Aggregate or to Eliminate? Optimal Model Simplification for Improved Process Performance Prediction

Arik Senderovich, Matthias Weidlich, Alexander Shleyfman, Avigdor Gal, and Avishai Mandelbaum

Information Systems, Volume 78, 2018, Pages 96 - 111

Keywords: Generalised stochasti Petri nets; Model simplification; Folding; Elimination; Aggregation; Process mining

Abstract

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Traveling Time Prediction in Scheduled Transportation with Journey Segments

Avigdor Gal, Avishai Mandelbaum, Francois Schnitzler, Arik Senderovich and Matthias Weidlich

Information Systems, Volume 64, June 2017, Pages 266-280

Keywords: Traveling time prediction; Quene mining; Machine learning

Abstract

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Conformance Checking and Performance Improvement in Schedule Processes: A Queneing-Network Perspective

Arik Senderovich, Matthias Weidlich, Liron Yedidsion, Avigdor Gal, Avishai Mandelbaum, Sarah Kadish, and Craig A. Bunnell

Information Systems, Volume 62, December 2016, Pages 185-206

Keywords: Scheduled processes; Conformance checking; Process improvement; Queueing networks; Process mining; Scheduling; Statistical inference

Abstract

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Queue Mining for Delay Prediction in Multi-Class Services Processes

Arik Senderovich, Matthias Weidlich, Avigdor Gal, and Avishai Mandelbaum

Information Systems, Volume 53, October–November 2015, Pages 278–295

Keywords: Delay prediction; Process mining; Queueing theory; Queue mining

Abstract

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OTHER PUBLICATIONS

OTHER PUBLICATIONS

An Ising Framework for Constrained Clustering on Special Purpose Hardware

Eldan Cohen, Arik Senderovich, J. Christopher Beck

International Conference on the Integration of CP, AI, and OR, CPAIOR2020.

Abstract

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Inductive Context-aware Process Discovery

Roee Shraga, Avigdor Gal, Dafna Schumacher, Arik Senderovich, Matthias Weidlich

International Conference on Process Mining, ICPM2019

Abstract

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Learning Scheduling Models from Event Data

Arik Senderovich, Kyle E.C. Booth, J. Christopher Beck

International Conference on Automated Planning and Scheduling, ICAPS2019

Keywords: Scheduling; Learning; Constraint programming; Petri nets

Abstract

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Congestion Graphs for Automated Time Predictions

Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich

AAAI Conference on Artificial Intelligence, AAAI2019 (16% acceptance rate)

Abstract

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Fusion-Based Process Discovery

Yossi Dahari, Arik Senderovich, Matthias Weidlich, Avigdor Gal

CAiSE2018, (21% acceptance rate)

Abstract

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How Much Event Data Is Enough? A Statistical Framework for Process Model Discovery

Martin Bauer, Arik Senderovich, Avigdor Gal, Lars Grunske, Matthias Weidlich

CAiSE2018, (21% acceptance rate)

Keywords: Process discovery; Log pre-processing; Log sampling

Abstract

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Temporal Network Representation of Event Logs for Improved Performance Modelling in Business Processes

Arik Senderovich, Matthias Weidlich, Avigdor Gal

BPM2017, (13% acceptance rate; best paper award).

Abstract

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Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions

Arik Senderovich, Chiara Di Francescomarino, Chiara Ghidini, Kerwin Jorbina, Fabrizio Maria Maggi

BPM2017, (13% acceptance rate)

Keywords: Predictive process monitoring; Inter-case features; Bi-dimensional feature encoding

Abstract

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P3-Folder: Optimal Model Simplification for Improving Accuracy in Process Performance Prediction

Arik Senderovich, Alexander Shleyfman, Matthias Weidlich, Avigdor Gal, Avishai Mandelbaum

BPM2016, (17% acceptance rate)

Abstract

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In Log and Model we Trust?

Andreas Rogge-Solti, Arik Senderovich, Matthias Weidlich, Jan Mendling, Avigdor Gal

BPM2016, (17% acceptance rate)

Keywords: Process mining; Conformance checking; Model repair; Log repair

Abstract

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The ROAD from Sensor Data to Process Instances via Interaction Mining

Arik Senderovich, Andreas Rogge-Solti, Avigdor Gal, Jan Mendling, Avishai Mandelbaum

CAiSE2016, (17% acceptance rate)

Keywords: RTLS data; Business processes; Optimal matching; Knowledge-driven

Abstract

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Data-Driven Performance Analysis of Scheduled Processes

Arik Senderovich, Andreas Rogge-Solti, Avigdor Gal, Jan Mendling, Avishai Mandelbaum, Sarah Kadish and Craig A. Bunnell

BPM2015, (18% acceptance rate)

Keywords: Schedule process; Parallel task; Queueing network; Queueing station; Schedule transition

Abstract

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Discovery and Validation of Queueing Networks in Scheduled Processes

Arik Senderovich, Matthias Weidlich, Avigdor Gal,Avishai Mandelbaum, Sarah Kadish, and Craig A. Bunnell

CAiSE2015, (13% acceptance rate)

Keywords: Service time; Service process; Service policy; Schedule process; Process execution

Abstract

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Mining Resource-Scheduling Protocols

Arik Senderovich, Matthias Weidlich, Avigdor Gal, and Avishai Mandelbaum

BPM2014, (17% acceptance rate)

Keywords: Random forest; Linear discriminant analysis; Multinomial logistic regression; Service process; Data mining method

Abstract

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Queue Mining - Delay Prediction in Service Processes

Arik Senderovich, Matthias Weidlich, Avigdor Gal, and Avishai Mandelbaum

CAiSE2014, (18% acceptance rate)

Keywords: Delay prediction; Process mining; Queueing theory; Queue mining

Abstract

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Predicting Traveling Times in Scheduled Transportation

Avigdor Gal, Avishai Mandelbaum, Francois Schnitzler, Arik Senderovich and Matthias Weidlich

MUD Workshop@ICML, 2015

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Discovering Queues from Event Logs with Varying Levels of Information

Arik Senderovich, Sander J.J. Leemans, Avigdor Gal, Avishai Mandelbaum, and Wil M.P. van der Aalst

BPM Workshops, 2015

Keywords: Quene; Business process; Statistical methods; Uncertainty

Abstract

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Service Analysis and Simulation in Process Mining

Arik Senderovich

BPM Workshops, 2014

Keywords: Modern business process; Queue mining; Snapshot principle; Operational process mining; Real-life event logs

Abstract

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Automated Learning of Simulation Models from Event Data

Arik Senderovich, Opher Baron, Galit B. Yom-Tov

Working Paper, 2020

Capacity Planning and Scheduling in Cloud Services

Arik Senderovich, Alexander Shleyfman, J. Christopher Beck

Working Paper, 2020

Counterfactual Analysis via Causal Inference in Queueing Systems

Arik Senderovich, Opher Baron, Mark van der Laan

Working Paper, 2020

Process-Driven Partitioning of Long-Running Cases in Customer Journey Logs

Gael Bernard, Arik Senderovich, Periklis Andritsos

Working Paper, 2020

Crowdsourcing Waiting Time Prediction: Methods and Feasibility Study

Ricky Roet-Green, Arik Senderovich, Yaron Shaposhnik

Working Paper, 2020

Exploiting Hardware and Software Advances for Quadratic Models of Wind Farm Layout Optimization

Arik Senderovich, Eldan Cohen, Jason Zhang, J. Christopher Beck

Submitted to Renewable Energy, 2020

Statistical Inference Engine for Priority Queues

Guy Berkenstadt, Arik Senderovich, Roee Shraga, Matthias Weidlich, Avigdor Gal

Working Paper, 2020

Modeling Provider Learning Curves using Real-Time Locating System Data

Arik Senderovich, Petar Momcilovic, Nikolaos Trichakis

Working Paper, 2020

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Faculty of Information, University of Toronto
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Toronto, Ontario, Canada M5S 3G6

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