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Scopus Author ID: 55586639800

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Employment (2)

Eindhoven University of Technology: Eindhoven, Noord-Brabant, NL

2019-01-01 to present | Assistant professor (Industrial Engineering and Innovation Sciences)
Employment
Source: Self-asserted source
Laura Genga

Eindhoven University of Technology: Eindhoven, NL

2017-03-06 to present | PostDoc (Mathematics and Computer Science)
Employment
Source: Self-asserted source
Laura Genga

Education and qualifications (1)

Università Politecnica delle Marche: Ancona, Marche, IT

2012-11-01 to 2015-10-31 | PhD in School of Engineering, curriculum computer, automation and management engineering (Dipartimento di Ingegneria dell'Informazione)
Education
Source: Self-asserted source
Laura Genga

Works (34)

Association Rule Mining Meets Regression Analysis: An Automated Approach to Unveil Systematic Biases in Decision-Making Processes

Journal of Cybersecurity and Privacy
2022-03 | Journal article | Author
DOI: 10.3390/jcp2010011
Contributors: Laura Genga; Luca Allodi; Nicola Zannone
Source: check_circle
Multidisciplinary Digital Publishing Institute

Towards multi-perspective conformance checking with fuzzy sets

International Journal of Interactive Multimedia and Artificial Intelligence
2021 | Journal article
DOI: 10.9781/ijimai.2021.02.013
EID:

2-s2.0-85108377548

Part of ISSN: 19891660
Contributors: Zhang, S.; Genga, L.; Yan, H.; Nie, H.; Lu, X.; Kaymak, U.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining

Studies in Computational Intelligence
2020 | Book chapter
DOI: 10.1007/978-3-030-36617-9_7
EID:

2-s2.0-85078177505

Part of ISSN: 18609503 1860949X
Contributors: Genga, L.; Potena, D.; Chiorrini, A.; Diamantini, C.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Towards Multi-perspective Conformance Checking with Aggregation Operations

Communications in Computer and Information Science
2020 | Book
DOI: 10.1007/978-3-030-50146-4_17
EID:

2-s2.0-85086267241

Part of ISSN: 18650937 18650929
Contributors: Zhang, S.; Genga, L.; Dekker, L.; Nie, H.; Lu, X.; Duan, H.; Kaymak, U.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Discovering reliable evidence of data misuse by exploiting rule redundancy

Computers and Security
2019 | Journal article
DOI: 10.1016/j.cose.2019.101577
EID:

2-s2.0-85069971314

Part of ISSN: 01674048
Contributors: Genga, L.; Zannone, N.; Squicciarini, A.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Mining local process models and their correlations

Lecture Notes in Business Information Processing
2019 | Book
DOI: 10.1007/978-3-030-11638-5_4
EID:

2-s2.0-85061080869

Part of ISSN: 18651348
Contributors: Genga, L.; Tax, N.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Predicting critical behaviors in business process executions: When evidence counts

Lecture Notes in Business Information Processing
2019 | Book
DOI: 10.1007/978-3-030-26643-1_5
EID:

2-s2.0-85072892781

Part of ISSN: 18651356 18651348
Contributors: Genga, L.; Di Francescomarino, C.; Ghidini, C.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Unveiling systematic biases in decisional processes an application to discrimination discovery

AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security
2019 | Conference paper
DOI: 10.1145/3321705.3329856
EID:

2-s2.0-85069971525
Contributors: Genga, L.; Allodi, L.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Discovering anomalous frequent patterns from partially ordered event logs

Journal of Intelligent Information Systems
2018 | Journal article
DOI: 10.1007/s10844-018-0501-z
EID:

2-s2.0-85045073644

Part of ISSN: 15737675 09259902
Contributors: Genga, L.; Alizadeh, M.; Potena, D.; Diamantini, C.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Towards a systematic process-aware behavioral analysis for security

ICETE 2018 - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications
2018 | Conference paper
DOI: 10.5220/0006944604600469
EID:

2-s2.0-85062610118
Contributors: Genga, L.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

APD tool: Mining anomalous patterns from event logs

CEUR Workshop Proceedings
2017 | Conference paper
EID:

2-s2.0-85030092436

Part of ISSN: 16130073
Contributors: Genga, L.; Alizadeh, M.; Potena, D.; Diamantini, C.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Discovering mobility patterns of instagram users through process mining techniques

Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017
2017 | Conference paper
DOI: 10.1109/IRI.2017.69
EID:

2-s2.0-85044233974
Contributors: Diamantini, C.; Genga, L.; Marozzo, F.; Potena, D.; Trunfio, P.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

On the use of hierarchical subtrace mining for efficient local process model mining

CEUR Workshop Proceedings
2017 | Conference paper
EID:

2-s2.0-85040511269

Part of ISSN: 16130073
Contributors: Tax, N.; Genga, L.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Students' careers analysis: A process mining approach

ACM International Conference Proceeding Series
2017 | Conference paper
DOI: 10.1145/3102254.3102270
EID:

2-s2.0-85028327272
Contributors: Cameranesi, M.; Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Subgraph mining for anomalous pattern discovery in event logs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
DOI: 10.1007/978-3-319-61461-8_12
EID:

2-s2.0-85025163902

Part of ISSN: 16113349 03029743
Contributors: Genga, L.; Potena, D.; Martino, O.; Alizadeh, M.; Diamantini, C.; Zannone, N.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Tell the student: evidence-based advantages of prerequisites

CEUR Workshop Proceedings
2017 | Conference paper
EID:

2-s2.0-85041431335

Part of ISSN: 16130073
Contributors: Cameranesi, M.; Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Tell the student: Evidence-based advantages of prerequisites

25th Italian Symposium on Advanced Database Systems, SEBD 2017
2017 | Conference paper
EID:

2-s2.0-85035030638
Contributors: Cameranesi, M.; Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Behavioral process mining for unstructured processes

Journal of Intelligent Information Systems
2016 | Journal article
DOI: 10.1007/s10844-016-0394-7
EID:

2-s2.0-84957953592

Part of ISSN: 15737675 09259902
Contributors: Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Building instance graphs for highly variable processes

Expert Systems with Applications
2016 | Journal article
DOI: 10.1016/j.eswa.2016.04.021
EID:

2-s2.0-84968821015

Part of ISSN: 09574174
Contributors: Diamantini, C.; Genga, L.; Potena, D.; Van Der Aalst, W.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Understanding knowlegde-intensive processes: From traces to instance graphs

2016 International Conference on High Performance Computing and Simulation, HPCS 2016
2016 | Conference paper
DOI: 10.1109/HPCSim.2016.7568338
EID:

2-s2.0-84991584199
Contributors: Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Discovering behavioural patterns in knowledge-intensive collaborative processes

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2015 | Conference paper
DOI: 10.1007/978-3-319-17876-9_10
EID:

2-s2.0-84931082549

Part of ISSN: 03029743
Contributors: Diamantini, C.; Genga, L.; Potena, D.; Storti, E.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

ESub: Exploration of subgraphs A tool for exploring models generated by graph mining algorithms

CEUR Workshop Proceedings
2015 | Conference paper
EID:

2-s2.0-84940387227

Part of ISSN: 16130073
Contributors: Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

ESub: Mining and exploring substructures in knowledge-intensive processes

Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015
2015 | Conference paper
DOI: 10.1109/HPCSim.2015.7237057
EID:

2-s2.0-84948440481
Contributors: Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Towards a customizable user-centered model for data analytics

2015 International Conference on Collaboration Technologies and Systems, CTS 2015
2015 | Conference paper
DOI: 10.1109/CTS.2015.7210431
EID:

2-s2.0-84959555571
Contributors: DIamantini, C.; Genga, L.; Potena, D.; Storti, E.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Towards process instances building for spaghetti processes

23rd Italian Symposium on Advanced Database Systems, SEBD 2015
2015 | Conference paper
EID:

2-s2.0-84971370453
Contributors: Diamantini, C.; Genga, L.; Potena, D.; Van Der Aalst, W.M.P.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

A composite methodology for supporting collaboration pattern discovery via semantic enrichment and multidimensional analysis

6th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2014
2014 | Conference paper
DOI: 10.1109/SOCPAR.2014.7008050
EID:

2-s2.0-84922777665
Contributors: Cuzzocrea, A.; Diamantini, C.; Genga, L.; Potena, D.; Storti, E.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

A methodology for building log of collaboration processes

2014 International Conference on Collaboration Technologies and Systems, CTS 2014
2014 | Conference paper
DOI: 10.1109/CTS.2014.6867586
EID:

2-s2.0-84906269325
Contributors: Diamantini, C.; Genga, L.; Potena, D.; Ribighini, G.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

A semi-automatic methodology for the design of performance monitoring systems

22nd Italian Symposium on Advanced Database Systems, SEBD 2014
2014 | Conference paper
EID:

2-s2.0-84914107204
Contributors: Diamantini, C.; Genga, L.; Potena, D.; Storti, E.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Collaborative building of an ontology of key performance indicators

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2014 | Book
DOI: 10.1007/978-3-662-45563-0_9
EID:

2-s2.0-84909997283

Part of ISSN: 16113349 03029743
Contributors: Diamantini, C.; Genga, L.; Potena, D.; Storti, E.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

A preliminary survey on innovation process management systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013 | Book
DOI: 10.1007/978-3-642-41366-7_8
EID:

2-s2.0-84893922169

Part of ISSN: 16113349 03029743
Contributors: Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Application of process mining techniques for innovation analysis and support

Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013
2013 | Conference paper
DOI: 10.1109/CTS.2013.6567291
EID:

2-s2.0-84883277509
Contributors: Genga, L.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Innovation pattern analysis

Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013
2013 | Conference paper
DOI: 10.1109/CTS.2013.6567301
EID:

2-s2.0-84883299438
Contributors: Diamantini, C.; Genga, L.; Potena, D.; Storti, E.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Pattern discovery from innovation processes

Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013
2013 | Conference paper
DOI: 10.1109/CTS.2013.6567269
EID:

2-s2.0-84883279004
Contributors: Diamantini, C.; Genga, L.; Potena, D.; Storti, E.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Approximation of the gradient of the error probability for Vector Quantizers

Proceedings of the 20th Italian Symposium on Advanced Database Systems, SEBD 2012
2012 | Conference paper
EID:

2-s2.0-84873574103
Contributors: Diamantini, C.; Genga, L.; Potena, D.
Source: Self-asserted source
Laura Genga via Scopus - Elsevier

Peer review (5 reviews for 4 publications/grants)

Review activity for Future generation computer systems. (1)
Review activity for Information Systems. (2)
Review activity for KI. (1)
Review activity for Machine learning. (1)
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