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ORCIDMatthias Weidlich 0001
Person information
- affiliation: Humboldt-University Berlin, Germany
Other persons with the same name
- Matthias Weidlich 0002
![[0000-0001-6152-3874]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6152-3874")
— Charité - Universitätsmedizin Berlin, Germany
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2020 – today
- 2025
[j74]Thanh Toan Nguyen, Nguyen Quoc Viet Hung, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin:
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. ACM Comput. Surv. 57(1): 3:1-3:39 (2025)- [j73]Thanh Tam Nguyen, Thanh Toan Nguyen, Matthias Weidlich, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin, Alan Wee-Chung Liew:
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer. IEEE Trans. Knowl. Data Eng. 37(1): 334-350 (2025) - 2024
- [j72]Steven Purtzel, Samira Akili, Matthias Weidlich:
Efficient multi-query evaluation for distributed CEP through predicate-based push-pull plans. Inf. Syst. 120: 102250 (2024) - [j71]Samira Akili, Steven Purtzel, Matthias Weidlich:
DecoPa: Query Decomposition for Parallel Complex Event Processing. Proc. ACM Manag. Data 2(3): 132 (2024) - [c141]Steven Purtzel, Samira Akili, Matthias Weidlich:
On-Demand Pattern Aggregation in Event Networks. BiDEDE@SIGMOD 2024: 1:1-1:6 - [c140]Ali J. Alaee, Matthias Weidlich, Arik Senderovich:
Data-Driven Decision Support for Business Processes: Causal Reasoning and Discovery. BPM (Forum) 2024: 90-106 - [c139]Martin Kabierski, Christian Imenkamp, Agnes Koschmider, Matthias Weidlich:
SpeciAL4PM: Species Analysis of Event Logs for Process Mining. BPM (Demos / Resources Forum) 2024: 136-140 - [c138]Christoffer Rubensson, Jan Mendling, Matthias Weidlich:
Variants of Variants: Context-Based Variant Analysis for Process Mining. CAiSE 2024: 387-402 - [c137]Martin Kabierski, Markus Richter, Matthias Weidlich:
Addressing the Log Representativeness Problem using Species Discovery (Extended Abstract). EMISA 2024 - [c136]Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
Privacy-Aware Analysis based on Data Series. ICDE 2024: 5365-5370 - [c135]Nourhan Elfaramawy, Fatma Deniz, Lars Grunske, Marcus Hilbrich, Timo Kehrer, Anna-Lena Lamprecht, Jan Mendling, Matthias Weidlich:
On Managing Large Collections of Scientific Workflows. Modellierung (Workshops) 2024: 12 - [c134]Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience. ECML/PKDD (5) 2024: 55-72 - [c133]Sebastian Pohl, Nourhan Elfaramawy, Artur Miling, Kedi Cao, Birte Kehr, Matthias Weidlich:
How Do Users Design Scientific Workflows? The Case of Snakemake and Nextflow. SSDBM 2024: 10:1-10:12 - [i29]Mehdi Acheli, Daniela Grigori, Matthias Weidlich:
Mining a Minimal Set of Behavioral Patterns using Incremental Evaluation. CoRR abs/2402.02921 (2024) - [i28]Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin:
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. CoRR abs/2404.14942 (2024) - [i27]Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience. CoRR abs/2405.18040 (2024) - [i26]Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Felix Mannhardt, Matthias Weidlich:
Control-flow Reconstruction Attacks on Business Process Models. CoRR abs/2409.10986 (2024) - 2023
- [j70]Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
Optimal event log sanitization for privacy-preserving process mining. Data Knowl. Eng. 145: 102175 (2023) - [j69]Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich:
Hiding in the forest: Privacy-preserving process performance indicators. Inf. Syst. 112: 102127 (2023) - [j68]Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, Matthias Weidlich:
Semantics-aware mechanisms for control-flow anonymization in process mining. Inf. Syst. 114: 102169 (2023) - [j67]Thanh Toan Nguyen, Thanh Trung Huynh, Matthias Weidlich, Quan Thanh Tho, Hongzhi Yin, Karl Aberer, Quoc Viet Hung Nguyen:
Scalable maximal subgraph mining with backbone-preserving graph convolutions. Inf. Sci. 644: 119287 (2023) - [j66]Samira Akili, Steven Purtzel, Matthias Weidlich:
INEv: In-Network Evaluation for Event Stream Processing. Proc. ACM Manag. Data 1(1): 101:1-101:26 (2023) - [j65]Chi Thang Duong, Thanh Tam Nguyen, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen:
Deep MinCut: Learning Node Embeddings by Detecting Communities. Pattern Recognit. 134: 109126 (2023) - [j64]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen:
Detecting rumours with latency guarantees using massive streaming data. VLDB J. 32(2): 369-387 (2023) - [c132]Stephan A. Fahrenkrog-Petersen, Arik Senderovich, Alexandra Tichauer, Ali Kaan Tutak, J. Christopher Beck, Matthias Weidlich:
Privacy Attacks on Schedule-Driven Data. AAAI 2023: 11972-11979 - [c131]Sarah Kleest-Meißner, Rebecca Sattler, Markus L. Schmid, Nicole Schweikardt, Matthias Weidlich:
Discovering Multi-Dimensional Subsequence Queries from Traces - From Theory to Practice. BTW 2023: 511-533 - [c130]Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, Shangping Ren:
PMDG: Privacy for Multi-perspective Process Mining Through Data Generalization. CAiSE 2023: 506-521 - [c129]Kedi Cao, Nourhan Elfaramawy, Matthias Weidlich, Birte Kehr:
From Program Chains to Exploratory Workflows: PopinSnake for Genomic Insertion Detection. e-Science 2023: 1-7 - [c128]Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). ICDE 2023: 3791-3792 - [c127]Martin Kabierski, Markus Richter, Matthias Weidlich:
Addressing the Log Representativeness Problem using Species Discovery. ICPM 2023: 65-72 - [c126]Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen, Phi Le Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. WSDM 2023: 850-858 - [e11]Marco Montali, Arik Senderovich, Matthias Weidlich:
Process Mining Workshops - ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers. Lecture Notes in Business Information Processing 468, Springer 2023, ISBN 978-3-031-27814-3 [contents] - [i25]Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, Shangping Ren:
PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization. CoRR abs/2305.00960 (2023) - [i24]Timotheus Kampik, Christian Warmuth, Adrian Rebmann, Ron Agam, Lukas N. P. Egger, Andreas Gerber, Johannes Hoffart, Jonas Kolk, Philipp Herzig, Gero Decker, Han van der Aa, Artem Polyvyanyy, Stefanie Rinderle-Ma, Ingo Weber, Matthias Weidlich:
Large Process Models: Business Process Management in the Age of Generative AI. CoRR abs/2309.00900 (2023) - [i23]Sebastian Pohl, Nourhan Elfaramawy, Kedi Cao, Birte Kehr, Matthias Weidlich:
How do users design scientific workflows? The Case of Snakemake. CoRR abs/2309.14097 (2023) - [i22]Ivan Donadello, Jonghyeon Ko, Fabrizio Maria Maggi, Jan Mendling, Francesco Riva, Matthias Weidlich:
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction. CoRR abs/2312.08847 (2023) - 2022
- [j63]Martin Bauer, Han van der Aa, Matthias Weidlich:
Sampling and approximation techniques for efficient process conformance checking. Inf. Syst. 104: 101666 (2022) - [j62]Roee Shraga, Avigdor Gal, Dafna Schumacher, Arik Senderovich, Matthias Weidlich:
Process discovery with context-aware process trees. Inf. Syst. 106: 101533 (2022) - [j61]Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich:
Fire now, fire later: alarm-based systems for prescriptive process monitoring. Knowl. Inf. Syst. 64(2): 559-587 (2022) - [j60]Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
Model-agnostic and diverse explanations for streaming rumour graphs. Knowl. Based Syst. 253: 109438 (2022) - [j59]Chi Thang Duong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding. IEEE Trans. Knowl. Data Eng. 34(11): 5307-5320 (2022) - [j58]Mehdi Acheli, Daniela Grigori, Matthias Weidlich:
Discovering and Analyzing Contextual Behavioral Patterns From Event Logs. IEEE Trans. Knowl. Data Eng. 34(12): 5708-5721 (2022) - [c125]Steven Purtzel, Samira Akili, Matthias Weidlich:
Predicate-based push-pull communication for distributed CEP. DEBS 2022: 31-42 - [c124]Adrian Rebmann, Matthias Weidlich, Han van der Aa:
GECCO: Constraint-driven Abstraction of Low-level Event Logs. ICDE 2022: 150-163 - [c123]Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
exRumourLens: Auditable Rumour Detection with Multi-View Explanations. ICDE 2022: 3174-3177 - [c122]Sarah Kleest-Meißner, Rebecca Sattler, Markus L. Schmid, Nicole Schweikardt, Matthias Weidlich:
Discovering Event Queries from Traces: Laying Foundations for Subsequence-Queries with Wildcards and Gap-Size Constraints. ICDT 2022: 18:1-18:21 - [c121]Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, Matthias Weidlich:
Privacy-Preserving Process Mining with PM4Py (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 85-89 - [c120]Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Glenn Dittmann, Matthias Weidlich:
PaPPI: Privacy-aware Process Performance Indicators (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 113-117 - [p5]Josep Carmona, Boudewijn F. van Dongen, Matthias Weidlich:
Conformance Checking: Foundations, Milestones and Challenges. Process Mining Handbook 2022: 155-190 - [p4]Han van der Aa, Alexander Artikis, Matthias Weidlich:
Complex Event Processing Methods for Process Querying. Process Querying Methods 2022: 479-510 - [i21]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen:
Detecting Rumours with Latency Guarantees using Massive Streaming Data. CoRR abs/2205.06580 (2022) - [i20]Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs. CoRR abs/2207.08098 (2022) - [i19]Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen, Phi Le Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. CoRR abs/2211.07400 (2022) - 2021
- [j57]Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich:
The Collaborative Research Center FONDA. Datenbank-Spektrum 21(3): 255-260 (2021) - [j56]Han van der Aa, Henrik Leopold, Matthias Weidlich:
Partial Order Resolution of Event Logs for Process Conformance Checking (Extended abstract). EMISA Forum 41(1): 23-24 (2021) - [j55]Samira Akili, Matthias Weidlich:
Reasoning on the Efficiency of Distributed Complex Event Processing. Fundam. Informaticae 179(2): 113-134 (2021) - [j54]Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Efficient Streaming Subgraph Isomorphism with Graph Neural Networks. Proc. VLDB Endow. 14(5): 730-742 (2021) - [j53]Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Scalable Robust Graph Embedding with Spark. Proc. VLDB Endow. 15(4): 914-922 (2021) - [c119]Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning. Business Process Management Workshops 2021: 73-85 - [c118]Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich:
Privacy-Aware Process Performance Indicators: Framework and Release Mechanisms. CAiSE 2021: 19-36 - [c117]Ahmed Awad, Kristo Raun, Matthias Weidlich:
Efficient Approximate Conformance Checking Using Trie Data Structures. ICPM 2021: 1-8 - [c116]Martin Kabierski, Hoang Lam Nguyen, Lars Grunske, Matthias Weidlich:
Sampling What Matters: Relevance-guided Sampling of Event Logs. ICPM 2021: 64-71 - [c115]Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, Matthias Weidlich:
SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining. ICPM 2021: 72-79 - [c114]Samira Akili, Matthias Weidlich:
MuSE Graphs for Flexible Distribution of Event Stream Processing in Networks. SIGMOD Conference 2021: 10-22 - [c113]Bo Zhao, Han van der Aa, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Matthias Weidlich:
EIRES: Efficient Integration of Remote Data in Event Stream Processing. SIGMOD Conference 2021: 2128-2141 - [p3]Matthias Weidlich:
Abweichungsanalyse (Conformance Checking). Prozessmanagement und Process-Mining - Grundlagen 2021: 199-234- - [e10]Ladjel Bellatreche, Marlon Dumas, Panagiotis Karras, Raimundas Matulevicius, Ahmed Awad, Matthias Weidlich, Mirjana Ivanovic, Olaf Hartig:
New Trends in Database and Information Systems - ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, Tartu, Estonia, August 24-26, 2021, Proceedings. Communications in Computer and Information Science 1450, Springer 2021, ISBN 978-3-030-85081-4 [contents] - [i18]Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich:
Privacy-aware Process Performance Indicators: Framework and Release Mechanisms. CoRR abs/2103.11740 (2021) - [i17]Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
A Distance Measure for Privacy-preserving Process Mining based on Feature Learning. CoRR abs/2107.06578 (2021) - [i16]Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, Matthias Weidlich:
SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining. CoRR abs/2109.08501 (2021) - [i15]Adrian Rebmann, Matthias Weidlich, Han van der Aa:
GECCO: Constraint-driven Abstraction of Low-level Event Logs. CoRR abs/2112.01897 (2021) - 2020
- [j52]Han van der Aa, Henrik Leopold, Matthias Weidlich:
Partial order resolution of event logs for process conformance checking. Decis. Support Syst. 136: 113347 (2020) - [j51]Artem Polyvyanyy, Andreas Solti, Matthias Weidlich, Claudio Di Ciccio, Jan Mendling:
Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems. EMISA Forum 40(1): 15-16 (2020) - [j50]Martin Bauer, Han van der Aa, Matthias Weidlich:
Estimating Process Conformance by Trace Sampling and Result Approximation. EMISA Forum 40(1): 17-18 (2020) - [j49]Saskia Nuñez von Voigt, Stephan A. Fahrenkrog-Petersen, Dominik Janssen, Agnes Koschmider, Florian Tschorsch, Felix Mannhardt, Olaf Landsiedel, Matthias Weidlich:
Quantifying the Re-identication Risk of Event Logs for Process Mining. EMISA Forum 40(1): 23-24 (2020) - [j48]Nimrod Busany, Han van der Aa, Arik Senderovich, Avigdor Gal, Matthias Weidlich:
Interval-based Queries over Lossy IoT Event Streams. Trans. Data Sci. 1(4): 27:1-27:27 (2020) - [j47]Artem Polyvyanyy, Andreas Solti, Matthias Weidlich, Claudio Di Ciccio, Jan Mendling:
Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems. ACM Trans. Softw. Eng. Methodol. 29(3): 17:1-17:41 (2020) - [j46]Kiarash Diba, Kimon Batoulis, Matthias Weidlich, Mathias Weske:
Extraction, correlation, and abstraction of event data for process mining. WIREs Data Mining Knowl. Discov. 10(3) (2020) - [c112]Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich:
Shareprom: A Tool for Privacy-Preserving Inter-Organizational Process Mining. BPM (PhD/Demos) 2020: 72-76 - [c111]Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information. BPM 2020: 111-128 - [c110]Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich:
Secure Multi-party Computation for Inter-organizational Process Mining. BPMDS/EMMSAD@CAiSE 2020: 166-181 - [c109]Saskia Nuñez von Voigt, Stephan A. Fahrenkrog-Petersen, Dominik Janssen, Agnes Koschmider, Florian Tschorsch, Felix Mannhardt, Olaf Landsiedel, Matthias Weidlich:
Quantifying the Re-identification Risk of Event Logs for Process Mining - Empiricial Evaluation Paper. CAiSE 2020: 252-267 - [c108]Karolin Winter, Han van der Aa, Stefanie Rinderle-Ma, Matthias Weidlich:
Assessing the Compliance of Business Process Models with Regulatory Documents. ER 2020: 189-203 - [c107]Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Nguyen Quoc Viet Hung:
Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks. ICDE 2020: 85-96 - [c106]Bo Zhao, Nguyen Quoc Viet Hung, Matthias Weidlich:
Load Shedding for Complex Event Processing: Input-based and State-based Techniques. ICDE 2020: 1093-1104 - [c105]Chi Thang Duong, Hongzhi Yin, Dung Hoang, Minn Hung Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Graph Embeddings for One-pass Processing of Heterogeneous Queries. ICDE 2020: 1994-1997 - [c104]Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich:
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. ICPM Doctoral Consortium / Tools 2020: 39-42 - [c103]Guy Berkenstadt, Avigdor Gal, Arik Senderovich, Roee Shraga, Matthias Weidlich:
Queueing Inference for Process Performance Analysis with Missing Life-Cycle Data. ICPM 2020: 57-64 - [c102]Ahmed Awad, Matthias Weidlich, Sherif Sakr:
Process Mining over Unordered Event Streams. ICPM 2020: 81-88 - [c101]Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen, Quoc Viet Hung Nguyen:
FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort. SIGIR 2020: 2165-2168 - [i14]Saskia Nuñez von Voigt, Stephan A. Fahrenkrog-Petersen, Dominik Janssen, Agnes Koschmider, Florian Tschorsch, Felix Mannhardt, Olaf Landsiedel, Matthias Weidlich:
Quantifying the Re-identification Risk of Event Logs for Process Mining. CoRR abs/2003.10707 (2020) - [i13]Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information. CoRR abs/2006.12856 (2020) - [i12]Han van der Aa, Henrik Leopold, Matthias Weidlich:
Partial Order Resolution of Event Logs for Process Conformance Checking. CoRR abs/2007.02416 (2020) - [i11]Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich:
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. CoRR abs/2008.09558 (2020)
2010 – 2019
- 2019
- [j45]Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, Judith Michael:
Privacy-Preserving Process Mining - Differential Privacy for Event Logs. Bus. Inf. Syst. Eng. 61(5): 595-614 (2019) - [j44]Agnes Koschmider, Martin Degeling, Matthias Weidlich:
Process Analytics over IoT-based Event Streams with Privacy Guarantees. Inform. Spektrum 42(5): 323 (2019) - [j43]Matthias Weidlich:
What spreadsheets are to numbers, process mining is to events. Inform. Spektrum 42(5): 327-331 (2019) - [j42]Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, Judith Michael:
Privacy-preserving Process Mining: Differential - Privacy for Event Logs (Extended Abstract). Inform. Spektrum 42(5): 349-351 (2019) - [j41]Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
PRETSA: Event Log Sanitization for Privacy-aware Process Discovery - (Extended Abstract). Inform. Spektrum 42(5): 352-353 (2019) - [j40]David M. Eyers, Avigdor Gal, Hans-Arno Jacobsen, Matthias Weidlich:
Introduction to the Special Issue on Integrating Process-oriented and Event-based Systems. Inf. Syst. 81: 179-180 (2019) - [j39]Nguyen Quoc Viet Hung, Matthias Weidlich, Thanh Tam Nguyen, Zoltán Miklós, Karl Aberer, Avigdor Gal, Bela Stantic:
Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models. Inf. Syst. 83: 166-180 (2019) - [j38]Arik Senderovich, Matthias Weidlich, Avigdor Gal:
Context-aware temporal network representation of event logs: Model and methods for process performance analysis. Inf. Syst. 84: 240-254 (2019) - [j37]Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Bolong Zheng, Quoc Viet Hung Nguyen, Bela Stantic:
User Guidance for Efficient Fact Checking. Proc. VLDB Endow. 12(8): 850-863 (2019) - [j36]Thanh Tam Nguyen, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Quoc Viet Hung Nguyen, Bela Stantic:
From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms. Proc. VLDB Endow. 12(9): 1016-1029 (2019) - [j35]Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa, Peter R. Pietzuch:
Crossbow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers. Proc. VLDB Endow. 12(11): 1399-1413 (2019) - [c100]Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich:
Congestion Graphs for Automated Time Predictions. AAAI 2019: 4854-4861 - [c99]Martin Bauer, Stephan A. Fahrenkrog-Petersen, Agnes Koschmider, Felix Mannhardt, Han van der Aa, Matthias Weidlich:
ELPaaS: Event Log Privacy as a Service. BPM (PhD/Demos) 2019: 159-163 - [c98]Martin Bauer, Han van der Aa, Matthias Weidlich:
Estimating Process Conformance by Trace Sampling and Result Approximation. BPM 2019: 179-197 - [c97]Mehdi Acheli, Daniela Grigori, Matthias Weidlich:
Efficient Discovery of Compact Maximal Behavioral Patterns from Event Logs. CAiSE 2019: 579-594 - [c96]Josep Carmona, Matthias Weidlich, Boudewijn F. van Dongen:
Actionable Conformance Checking: From Intuitions to Code. eBISS 2019: 1-24 - [c95]