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| | Issue Date | Title | Contributor(s) | Type | Cat. |
| 1 | 2023 | The application of text mining in accounting | Senave, Elseline; JANS, Mieke; Srivastava, Rajendra P. | Journal Contribution | A1 |
| 2 | 2023 | The Impact of CEO Characteristics on IT Capabilities of Private Family Firms | ALI, Raza; CORTEN, Maarten; UMANS, Ine; LYBAERT, Nadine; JANS, Mieke; LATIF, Bilal | Conference Material | C2 |
| 3 | 2023 | Process Mining for Detailed Process Analysis | JANS, Mieke; LAGHMOUCH, Manal | Book Section | B2 |
| 4 | 2023 | Mining Recency-Frequency-Monetary enriched insights into resources' collaboration behavior from event data | JOOKEN, Leen; DEPAIRE, Benoit; JANS, Mieke | Journal Contribution | A1 |
| 5 | 2022 | Beleidsinformatica | Hansen, H.R.; Mendling, J.; Neumann, G.; DEPAIRE, Benoit; JANS, Mieke | Book | B1 |
| 6 | 2022 | Process Mining for Financial Auditing | JANS, Mieke; Eulerich, Marc | Book Section | B2 |
| 7 | 2022 | Digitalization in accounting - warmly embraced or coldly ignored? | JANS, Mieke; Aysolmaz, Banu; CORTEN, Maarten; Joshi, Anant; van Peteghem, Mathijs | Journal Contribution | A1 |
| 8 | 2022 | Special issue: Selected papers of ICPM 2019 | Carmona, Josep; JANS, Mieke; La Rosa, Marcello | Journal Contribution | A2 |
| 9 | 2022 | Board of directors and earnings management: conventional and Islamic banks | ABU-DAWLEH, Ahmad; LYBAERT, Nadine; STEIJVERS, Tensie; JANS, Mieke | Journal Contribution | A1 |
| 10 | 2022 | Mining Valuable Collaborations from Event Data Using the Recency-Frequency-Monetary Principle | JOOKEN, Leen; JANS, Mieke; DEPAIRE, Benoit; Franch, Xavier; Poels, Geert; Gailly, Frederik; Snoeck, Monique | Proceedings Paper | C1 |
| 11 | 2021 | An Experimental Study on Alarm Prioritization in Information Systems Audit | LAGHMOUCH, Manal; Mendling, Jan; JANS, Mieke; LIZIN, Sebastien | Conference Material | C2 |
| 12 | 2021 | Nieuwe technologieën en het auditberoep - La profession d'audit et les nouvelles technologies | Abadjadi, O; de Bonhomme, O.; JANS, Mieke; LAGHMOUCH, Manal; Trumpener, J.; Kordel, L.; Kroes, D.; Stouthuysen, K. | Book | B1 |
| 13 | 2021 | ICPM 2021 Doctoral Consortium and Demo Track 2021 | JANS, Mieke; JANSSENSWILLEN, Gert; Kalenkova, Anna; Maggi, Fabrizio Maria | Book | B1 |
| 14 | 2021 | Conformance Checking in Process Mining | JANS, Mieke; Weerdt, Jochen De; DEPAIRE, Benoit; Dumas, Marlon; JANSSENSWILLEN, Gert | Journal Contribution | A2 |
| 15 | 2021 | A Five-Level Framework for Research on Process Mining | vom Brocke, Jan; JANS, Mieke; Mendling, Jan; Reijers, Hajo A. | Journal Contribution | A2 |
| 16 | 2021 | Interview with Varun Grover on "Business Processes, Information Technology and Its Evolution in the Digital Age" | Mendling, Jan; JANS, Mieke | Journal Contribution | A2 |
| 17 | 2020 | Establishing Requirements for the Application of Process Discovery Algorithms in Audit Practice | Senave, Elseline; LAGHMOUCH, Manal; JANS, Mieke | Conference Material | C2 |
| 18 | 2020 | Call for Papers, Issue 5/2021 Process Mining at the Enterprise Level | vom Brocke, Jan; JANS, Mieke; Mendling, Jan; Reijers, Hajo A. | Journal Contribution | A2 |
| 19 | 2020 | The influence of business process representation on performance of different task types | Ritchi, Hamzah; JANS, Mieke; Mendling, Jan; Reijers, Hajo | Journal Contribution | A1 |
| 20 | 2020 | Extensions to the bupaR ecosystem: An overview | JANSSENSWILLEN, Gert; Mannhardt, Felix; CREEMERS, Mathijs; DEPAIRE, Benoit; JANS, Mieke; JOOKEN, Leen; MARTIN, Niels; VAN HOUDT, Greg | Proceedings Paper | C1 |
| 21 | 2020 | Classifying process deviations with weak supervision | LAGHMOUCH, Manal; JANS, Mieke; DEPAIRE, Benoit | Proceedings Paper | C1 |
| 22 | 2019 | Process Deviation Categories in an Auditing Context | HOSSEINPOUR, Mehrnush; JANS, Mieke | Conference Material | C2 |
| 23 | 2019 | Process Mining of event logs: a case study evaluating internal control effectiveness | Chiu, Tiffany; JANS, Mieke | Journal Contribution | A1 |
| 24 | 2019 | Building a valuable event log for process mining: an experimental exploration of a guided process | JANS, Mieke; Soffer, Pnina; JOUCK, Toon | Journal Contribution | A1 |
| 25 | 2019 | Extracting A Collaboration Model From VCS Logs Based On Process Mining Techniques | JOOKEN, Leen; CREEMERS, Mathijs; JANS, Mieke | Proceedings Paper | C1 |
| 26 | 2019 | Two Perspectives on Blockchains: Capabilities vs. Features | Debois, Soren; Dumas, Marlon; Haarmann, Stephan; Jacobsen, Hans-Arno; JANS, Mieke; Mendling, Jan; Staples, Mark; Weber, Barbara; Zerbato, Francesca; Zhang, Kaiwen | Proceedings Paper | C1 |
| 27 | 2019 | Factors Influencing Process Analytics on Distributed Ledgers | Di Ciccio, Claudio; García-Bañuelos, Luciano; JANS, Mieke; Mendling, Jan; Novotny, Petr; Stage, Ludwig | Proceedings Paper | C1 |
| 28 | 2018 | How active learning and process mining can act as Continuous Auditing catalyst | JANS, Mieke; HOSSEINPOUR, Mehrnush | Journal Contribution | A1 |
| 29 | 2018 | From Relational Database to Event Log: Decisions with Quality Impact | JANS, Mieke; Soffer, Pnina | Proceedings Paper | C1 |
| 30 | 2018 | An Improved Way for Measuring Simplicity During Process Discovery | LIEBEN, Jonas; JOUCK, Toon; DEPAIRE, Benoit; JANS, Mieke | Proceedings Paper | C1 |
| 31 | 2018 | An Improved Way for Measuring Simplicity During Process Discovery | LIEBEN, Jonas; DEPAIRE, Benoit; JANS, Mieke; JOUCK, Toon | Proceedings Paper | C1 |
| 32 | 2018 | bupaR: Enabling reproducible business process analysis | JANSSENSWILLEN, Gert; DEPAIRE, Benoit; SWENNEN, Marijke; JANS, Mieke; VANHOOF, Koen | Journal Contribution | A1 |
| 33 | 2017 | Leveraging process mining techniques for up-to-date resource profiles | CREEMERS, Mathijs; JANS, Mieke | Proceedings Paper | C1 |
| 34 | 2017 | Process mining-technieken voor internecontroletesten - mogelijkheden nu en in de toekomst | JANS, Mieke; HOSSEINPOUR, Mehrnush | Journal Contribution | A1 |
| 35 | 2017 | Retrieving batch organisation of work insights from event logs | MARTIN, Niels; SWENNEN, Marijke; DEPAIRE, Benoit; JANS, Mieke; CARIS, An; VANHOOF, Koen | Journal Contribution | A1 |
| 36 | 2016 | Categorizing Identified Deviations for financial Statements Auditing | HOSSEINPOUR, Mehrnush; JANS, Mieke | Proceedings Paper | C1 |
| 37 | 2016 | Social Mining as a Knowledge Management Solution | CREEMERS, Mathijs; JANS, Mieke | Proceedings Paper | C1 |
| 38 | 2016 | Capturing resource behaviour from event logs | SWENNEN, Marijke; MARTIN, Niels; JANSSENSWILLEN, Gert; JANS, Mieke; DEPAIRE, Benoit; CARIS, An; VANHOOF, Koen | Proceedings Paper | C1 |
| 39 | 2015 | Batch processing: definition and event log identification | MARTIN, Niels; SWENNEN, Marijke; DEPAIRE, Benoit; JANS, Mieke; CARIS, An; VANHOOF, Koen | Proceedings Paper | C1 |
| 40 | 2015 | Enabling Event-data Analysis in R: Demonstration | JANSSENSWILLEN, Gert; SWENNEN, Marijke; DEPAIRE, Benoit; JANS, Mieke; VANHOOF, Koen | Proceedings Paper | C1 |
| 41 | 2015 | Capturing Process Behavior with Log-Based Process Metrics | SWENNEN, Marijke; JANSSENSWILLEN, Gert; JANS, Mieke; DEPAIRE, Benoit; VANHOOF, Koen | Proceedings Paper | C1 |
| 42 | 2014 | Towards a General Framework for Business Tests | SWENNEN, Marijke; DEPAIRE, Benoit; JANS, Mieke; VANHOOF, Koen | Proceedings Paper | C1 |
| 43 | 2014 | A Field Study on the Use of Process Mining of Event Logs as an Analytical Procedure in Auditing | JANS, Mieke; Alles, Michael G.; Vasarhelyi, Miklos A. | Journal Contribution | A1 |
| 44 | 2013 | A Process Deviation Analysis Framework | DEPAIRE, Benoit; SWINNEN, Jo; JANS, Mieke; VANHOOF, Koen | Proceedings Paper | C1 |
| 45 | 2013 | The case for process mining in auditing: Sources of value added and areas of application | JANS, Mieke; Alles, Michael G.; Vasarhelyi, Miklos | Journal Contribution | A1 |
| 46 | 2012 | Process mining of event logs in internal auditing: a case study | JANS, Mieke; Alles, Michael G.; Vasarhelyi, Miklos | Conference Material | C2 |
| 47 | 2012 | A process deviation analysis - a case study | SWINNEN, Jo; DEPAIRE, Benoit; JANS, Mieke; VANHOOF, Koen | Proceedings Paper | C1 |
| 48 | 2012 | Making compliance measures actionable: a new compliance analysis approach | DAMER, Nour; JANS, Mieke; DEPAIRE, Benoit; VANHOOF, Koen | Proceedings Paper | C1 |
| 49 | 2011 | Internal Auditing and Process Mining: Opportunities and Challenges | JANS, Mieke; Alles, Michael G.; Vasarhelyi, Miklos | Conference Material | C2 |
| 50 | 2011 | A business process mining application for internal transaction fraud mitigation | JANS, Mieke; van der Werf, Jan Martijn; LYBAERT, Nadine; VANHOOF, Koen | Journal Contribution | A1 |
| 51 | 2011 | Does Process Mining Add to Internal Auditing? An Experience Report | JANS, Mieke; DEPAIRE, Benoit; VANHOOF, Koen | Proceedings Paper | C1 |
| 52 | 2011 | Process mining in auditing: from current limitations to future challenges | JANS, Mieke | Proceedings Paper | C1 |
| 53 | 2011 | Data Mining and Economic Crime Risk Management | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Book Section | B2 |
| 54 | 2010 | Internal Fraud Risk Reduction by Data Mining and Process Mining | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Journal Contribution | A1 |
| 55 | 2010 | Internal Fraud Risk Reduction: Results of a Data Mining Case Study | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Journal Contribution | A1 |
| 56 | 2009 | A framework for Internal Fraud Risk Reduction at IT Integrating Business Processes | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Journal Contribution | A1 |
| 57 | 2009 | Internal fraud risk reduction by data mining and process mining: framework and case study | JANS, Mieke | Theses and Dissertations | T1 |
| 58 | 2008 | Allocating Internal Audit Resources for Fraud Risk Reduction | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Conference Material | C2 |
| 59 | 2008 | Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Conference Material | C2 |
| 60 | 2008 | Internal Fraud Risk Reduction: Results of a Data Mining Case Study | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Proceedings Paper | C1 |
| 61 | 2008 | Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen; van der Werf, Jan Martijn | Conference Material | C2 |
| 62 | 2008 | Internal Fraud Risk Reduction: Results of a Data Mining Case Study | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Conference Material | C2 |
| 63 | 2008 | Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Proceedings Paper | C2 |
| 64 | 2007 | Data Mining for Fraud Detection: Toward an Improvement on Internal Control Systems? | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Conference Material | C2 |
| 65 | 2007 | De "Award for the best financial information": Is deze maatstaf van informatiekwaliteit te beïnvloeden door winststuring ? | JANS, Mieke; LYBAERT, Nadine | Journal Contribution | A1 |
| 66 | 2006 | Data Mining for Fraud Detection: Toward an Improvement on Internal Control Systems? | JANS, Mieke; LYBAERT, Nadine; VANHOOF, Koen | Conference Material | C2 |
| 67 | 2006 | Winststuring Door Belgische Ondernemingen Via Het Voorzieningenbeleid | LYBAERT, Nadine; JANS, Mieke | Journal Contribution | A1 |
| 68 | 2005 | The relation between disclosure quality, income smoothing and earnings' timeliness | JANS, Mieke; ORENS, Raf; LYBAERT, Nadine | Conference Material | C2 |
| 69 | 2005 | Voluntary non-financial disclosure practices by Belgian listed firms and their relevance from an analysts' point of view | ORENS, Raf; LYBAERT, Nadine; JANS, Mieke | Conference Material | C2 |
| 70 | 2005 | Provisions: a tool for earnings management? | LYBAERT, Nadine; JANS, Mieke; ORENS, Raf | Conference Material | C2 |
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