Publications
2024
Scholarly publications
Roveri, M.
, Di Ciccio, C., Di Francescomarino, C., & Ghidini, C. (2024).
Computing Unsatisfiable Cores for LTLf Specifications.
Journal of Artificial Intelligence Research,
80, 517-558.
https://doi.org/10.1613/jair.1.15313Goretti, V., Basile, D., Barbaro, L.
, & Di Ciccio, C. (2024).
Trusted Execution Environment for Decentralized Process Mining. In G. Guizzardi, F. Santoro, H. Mouratidis, & P. Soffer (Eds.),
Advanced Information Systems Engineering - 36th International Conference, CAiSE 2024, Proceedings (pp. 509-527). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14663 LNCS). Springer.
https://doi.org/10.1007/978-3-031-61057-8_30Alman, A., Arleo, A.
, Beerepoot, I., Burattin, A.
, Ciccio, C. D., & Resinas, M. (2024).
A Taste of the Different Flavors of Tiramisù.
CEUR Workshop Proceedings,
3783.
https://research-portal.uu.nl/ws/files/243875757/paper_357.pdfDi Ciccio, C., Fdhila, W., Agostinelli, S., Amyot, D.
, Leopold, H., Krčál, M., Mandelburger, M. M., Polančič, G., Tomičić-Pupek, K., Gdowska, K., Grisold, T., Sliż, P.
, Beerepoot, I., Gabryelczyk, R., & Plattfaut, R. (2024).
Preface. In
Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum: BPM 2024 Blockchain, RPA, CEE, Educators and Industry Forum, Krakow, Poland, September 1–6, 2024, Proceedings (Vol. 527, pp. v-vi). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-031-70445-1 Leo, S., Delle Foglie, A., Barbaro, L., Marangone, E., Panetta, I. C.
, & Di Ciccio, C. (2024).
Transforming Credit Guarantee Schemes with Distributed Ledger Technology. In B. Alareeni, & A. Hamdan (Eds.),
Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation - Proceedings of the International Conference on Business and Technology ICBT2024 (pp. 314-324). (Lecture Notes in Networks and Systems; Vol. 1083 LNNS). Springer.
https://doi.org/10.1007/978-3-031-67431-0_30Alman, A., Arleo, A.
, Beerepoot, I., Burattin, A.
, Di Ciccio, C., & Resinas, M. (2024).
Tiramisù: making sense of multi-faceted process information through time and space.
Journal of Intelligent Information Systems. Advance online publication.
https://doi.org/10.1007/s10844-024-00875-8Marangone, E., Spina, M.
, Di Ciccio, C., & Weber, I. (2024).
CAKE: Sharing Slices of Confidential Data on Blockchain. In S. Islam, & A. Sturm (Eds.),
Intelligent Information Systems - CAiSE Forum 2024, Proceedings (pp. 138-147). (Lecture Notes in Business Information Processing; Vol. 520 LNBIP). Springer.
https://doi.org/10.1007/978-3-031-61000-4_16Alman, A., Arleo, A.
, Beerepoot, I., Burattin, A.
, Di Ciccio, C., & Resinas, M. (2024).
Tiramisù: A Recipe for Visual Sensemaking of Multi-faceted Process Information. In J. De Smedt, & P. Soffer (Eds.),
Process Mining Workshops - ICPM 2023 International Workshops, 2023, Revised Selected Papers (pp. 19-31). (Lecture Notes in Business Information Processing; Vol. 503 LNBIP). Springer.
https://doi.org/10.1007/978-3-031-56107-8_2Cecconi, A., Barbaro, L.
, Ciccio, C. D., & Senderovich, A. (2024).
Measuring rule-based LTLf process specifications: A probabilistic data-driven approach.
Information Systems,
120, 1-20. Article 102312.
https://doi.org/10.1016/j.is.2023.1023122023
Scholarly publications
Di Ciccio, C. (2023).
Blockchain and Distributed Ledger Technologies. In S. Leo, & I. C. Panetta (Eds.),
The Role of Distributed Ledger Technology in Banking: From Theory to Practice (pp. 11-34). Cambridge University Press.
https://doi.org/10.1017/9781009411783.003 Basile, D.
, Di Ciccio, C., Goretti, V., & Kirrane, S. (2023).
A Blockchain-driven Architecture for Usage Control in Solid. In E. Bertino, & B. Li (Eds.),
43rd IEEE International Conference on Distributed Computing Systems, ICDCS 2023 - Workshops, Hong Kong, July 18-21, 2023 (pp. 19-24). IEEE.
https://doi.org/10.1109/ICDCSW60045.2023.00009Marangone, E.
, Di Ciccio, C., Friolo, D., Nemmi, E. N., Venturi, D., & Weber, I. (2023).
MARTSIA: Enabling Data Confidentiality for Blockchain-based Process Execution. In H. A. Proper, L. Pufahl, D. Karastoyanova, M. van Sinderen, & J. L. R. Moreira (Eds.),
Enterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 - November 3, 2023, Proceedings (Vol. 14367, pp. 58-76). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-031-46587-1_4Bayomie, D.
, Di Ciccio, C., & Mendling, J. (2023).
Event-case correlation for process mining using probabilistic optimization.
Information Systems,
114, Article 102167.
https://doi.org/10.1016/j.is.2023.102167Becker, J., Chasin, F., Rosemann, M., Beverungen, D., Priefer, J., Brocke, J. V., Matzner, M., del Rio Ortega, A., Resinas, M., Santoro, F., Song, M., Park, K.
, & Di Ciccio, C. (2023).
City 5.0: Citizen involvement in the design of future cities.
Electronic Markets,
33, Article 10.
https://doi.org/10.1007/s12525-023-00621-yBasile, D.
, Di Ciccio, C., Goretti, V., & Kirrane, S. (2023).
Blockchain based resource governance for decentralized web environments.
Frontiers in Blockchain,
6, Article 1141909.
https://doi.org/10.3389/fbloc.2023.1141909Bottoni, P.
, Ciccio, C. D., Pareschi, R., Tortola, D., Gessa, N., & Massa, G. (2023).
Blockchain-as-a-Service and Blockchain-as-a-Partner: Implementation options for supply chain optimization.
Blockchain: Research and Applications,
4(2), Article 100119.
https://doi.org/10.1016/j.bcra.2022.100119Beerepoot, I., Di Ciccio, C., Reijers, H. A., Rinderle-Ma, S., Bandara, W., Burattin, A., Calvanese, D., Chen, T., Cohen, I., Depaire, B., Di Federico, G., Dumas, M., van Dun, C., Fehrer, T., Fischer, D. A., Gal, A., Indulska, M., Isahagian, V., Klinkmüller, C., ... Zerbato, F. (2023).
The biggest business process management problems to solve before we die.
Computers in Industry,
146, Article 103837.
https://doi.org/10.1016/j.compind.2022.103837 2022
Scholarly publications
Di Ciccio, C., Dijkman, R., del Río Ortega, A., & Rinderle-Ma, S. (Eds.) (2022).
Business Process Management, 20th International Conference, BPM 2022, Münster, Germany, September 11-16, 2022, Proceedings. (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-031-16103-2 Di Ciccio, C., Dijkman, R., del Río Ortega, A., & Rinderle-Ma, S. (Eds.) (2022).
Business Process Management Forum, BPM 2022 Forum, Münster, Germany, September 11-16, 2022, Proceedings. (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-031-16171-1 Roveri, M.
, Di Ciccio, C., Di Francescomarino, C., & Ghidini, C. (2022).
Computing unsatisfiable cores for LTLf specifications. In G. De Giacomo, A. Guzzo, M. Montali, L. Limonad, F. Fournier, & T. Chakraborti (Eds.),
Proceedings of the Workshop on Process Management in the AI Era (PMAI 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 23, 2022 (Vol. 3310, pp. 81-84). (CEUR Workshop Proceedings). CEUR WS.
https://ceur-ws.org/Vol-3310/paper12.pdfBayomie, D., Revoredo, K.
, Di Ciccio, C., & Mendling, J. (2022).
Improving Accuracy and Explainability in Event-Case Correlation via Rule Mining. In A. Burattin, A. Polyvyanyy, & B. Weber (Eds.),
4th International Conference on Process Mining, ICPM 2022, Bolzano, Italy, October 23-28, 2022 (pp. 24-31). IEEE.
https://doi.org/10.1109/ICPM57379.2022.9980684Cecconi, A.
, Di Ciccio, C., & Senderovich, A. (2022).
Measurement of Rule-based LTLf Declarative Process Specifications. In A. Burattin, A. Polyvyanyy, & B. Weber (Eds.),
4th International Conference on Process Mining, ICPM 2022, Bolzano, Italy, October 23-28, 2022 (pp. 96-103). IEEE.
https://doi.org/10.1109/ICPM57379.2022.9980690Marangone, E.
, Di Ciccio, C., & Weber, I. (2022).
Fine-Grained Data Access Control for Collaborative Process Execution on Blockchain. In A. Marrella, R. Matulevičius, R. Gabryelczyk, B. Axmann, V. Bosilj Vukšić, W. Gaaloul, M. Indihar Štemberger, A. Kő, & Q. Lu (Eds.),
Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum, BPM 2022 Blockchain, RPA, and CEE Forum, Münster, Germany, September 11-16, 2022, Proceedings (pp. 51-67). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-031-16168-1_4Di Ciccio, C., & Montali, M. (2022).
Declarative Process Specifications: Reasoning, Discovery, Monitoring. In W. M. P. van der Aalst, & J. Carmona (Eds.),
Process Mining Handbook (Vol. 448, pp. 108-152). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-031-08848-3_4 Yeshchenko, A.
, Di Ciccio, C., Mendling, J., & Polyvyanyy, A. (2022).
Visual Drift Detection for Event Sequence Data of Business Processes.
IEEE Transactions on Visualization and Computer Graphics,
28(8), 3050-3068.
https://doi.org/10.1109/TVCG.2021.3050071Cecconi, A., De Giacomo, G.
, Di Ciccio, C., Maggi, F. M., & Mendling, J. (2022).
Measuring the interestingness of temporal logic behavioral specifications in process mining.
Information Systems,
107, Article 101920.
https://doi.org/10.1016/j.is.2021.101920Wynn, M. T., Lebherz, J., Aalst, W. M. P. V. D., Accorsi, R.
, di Ciccio, C., Lakmali, J., & Verbeek, H. M. W. (2022).
Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop. In
Process Mining Workshops (Lecture Notes in Business Information Processing; Vol. 433). Springer.
https://doi.org/10.1007/978-3-030-98581-3_1Munoz-Gama, J., Martin, N., Fernandez-Llatas, C., Johnson, O. A., Sepúlveda, M., Helm, E.
, Galvez-Yanjari, V., Rojas, E., Martinez-Millana, A., Aloini, D., Amantea, I. A., Andrews, R., Arias, M.
, Beerepoot, I., Benevento, E., Burattin, A., Capurro, D., Carmona, J., Comuzzi, M., ... Zerbato, F. (2022).
Process Mining for Healthcare: Characteristics and Challenges.
Journal of Biomedical Informatics,
127, 1-15. Article 103994.
https://doi.org/10.1016/j.jbi.2022.1039942021
Scholarly publications
Beerepoot, I., Di Ciccio, C., Marrella, A., Reijers, H. A., Rinderle-Ma, S., & Weber, B. (Eds.) (2021). Proceedings of the International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6-10, 2021. (CEUR Workshop Proceedings). CEUR-WS.org.
Di Ciccio, C., Di Francescomarino, C., & Soffer, P. (Eds.) (2021).
3rd International Conference on Process Mining, ICPM 2021, Eindhoven, Netherlands, October 31 - Nov. 4, 2021. IEEE.
https://doi.org/10.1109/ICPM53251.2021 Alman, A.
, Di Ciccio, C., & Maggi, F. M. (2021).
Rule Mining with RuM (Extended Abstract). In A. Marrella, & D. T. Dupré (Eds.),
Proceedings of the 1st Italian Forum on Business Process Management co-located with the 19th International Conference of Business Process Management (BPM 2021), Rome, Italy, September 10th, 2021 (Vol. 2952, pp. 38-43). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-2952/paper_296a.pdfAlman, A.
, Di Ciccio, C., Maggi, F. M., Montali, M., & van der Aa, H. (2021).
RuM: Declarative Process Mining, Distilled. In A. Polyvyanyy, M. T. Wynn, A. Van Looy, & M. Reichert (Eds.),
Business Process Management - 19th International Conference, BPM 2021, Rome, Italy, September 06-10, 2021, Proceedings (Vol. 12875, pp. 23-29). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-030-85469-0_3Basile, D., Goretti, V.
, Di Ciccio, C., & Kirrane, S. (2021).
Enhancing Blockchain-Based Processes with Decentralized Oracles. In J. González Enríquez, S. Debois, P. Fettke, P. Plebani, I. van de Weerd, & I. Weber (Eds.),
Business Process Management: Blockchain and Robotic Process Automation Forum - BPM 2021 Blockchain and RPA Forum, Rome, Italy, September 6-10, 2021, Proceedings (Vol. 428, pp. 102-118). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-030-85867-4_8Cecconi, A., Augusto, A.
, & Di Ciccio, C. (2021).
Detection of Statistically Significant Differences Between Process Variants Through Declarative Rules. In A. Polyvyanyy, M. T. Wynn, A. V. Looy, & M. Reichert (Eds.),
Business Process Management Forum - BPM Forum 2021, Rome, Italy, September 06-10, 2021, Proceedings (Vol. 427, pp. 73-91). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-030-85440-9_5Beverungen, D., Buijs, J. C. A. M., Becker, J.
, Di Ciccio, C., van der Aalst, W. M. P., Bartelheimer, C., vom Brocke, J., Comuzzi, M., Kraume, K., Leopold, H., Matzner, M., Mendling, J., Ogonek, N., Post, T., Resinas, M., Revoredo, K., del-Río-Ortega, A., La Rosa, M., Santoro, F. M., ... Wolf, V. (2021).
Seven Paradoxes of Business Process Management in a Hyper-Connected World.
Business & Information Systems Engineering,
63(2), 145-156.
https://doi.org/10.1007/s12599-020-00646-zvan Dongen, B. F., De Smedt, J.
, Di Ciccio, C., & Mendling, J. (2021).
Conformance checking of mixed-paradigm process models.
Information Systems,
102, 101685.
https://doi.org/10.1016/j.is.2020.1016852020
Scholarly publications
van der Aalst, W. M. P., vom Brocke, J., Comuzzi, M.
, Di Ciccio, C., García, F., Kumar, A., Mendling, J., Pentland, B. T., Pufahl, L., Reichert, M., & Weske, M. (Eds.) (2020).
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2020 co-located with the 18th International Conference on Business Process Management (BPM 2020), Sevilla, Spain, September 13-18, 2020. (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-2673/Di Ciccio, C., Depaire, B., De Weerdt, J., Di Francescomarino, C., & Munoz-Gama, J. (Eds.) (2020).
Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), Padua, Italy, October 4-9, 2020. (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-2703/ Kirrane, S.
, & Di Ciccio, C. (2020).
BlockConfess: Towards an Architecture for Blockchain Constraints and Forensics. In
IEEE 2nd International Conference on Blockchain, Blockchain 2020, Rhodes Island, Greece, November 02-06, 2020 (pp. 539-544). IEEE.
https://doi.org/10.1109/Blockchain50366.2020.00078Yeshchenko, A., Mendling, J.
, Di Ciccio, C., & Polyvyanyy, A. (2020).
VDD: A Visual Drift Detection System for Process Mining. In C. Di Ciccio, B. Depaire, J. De Weerdt, C. Di Francescomarino, & J. Munoz-Gama (Eds.),
Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), Padua, Italy, October 4-9, 2020 (Vol. 2703, pp. 31-34). (CEUR Workshop Proceedings). CEUR WS.
http://ceur-ws.org/Vol-2703/paperTD4.pdfPolyvyanyy, A., Alkhammash, H.
, Di Ciccio, C., García-Bañuelos, L., Kalenkova, A. A., Leemans, S. J. J., Mendling, J., Moffat, A., & Weidlich, M. (2020).
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. In C. Di Ciccio, B. Depaire, J. De Weerdt, C. Di Francescomarino, & J. Munoz-Gama (Eds.),
Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), Padua, Italy, October 4-9, 2020 (Vol. 2703, pp. 39-42). (CEUR Workshop Proceedings). CEUR WS.
http://ceur-ws.org/Vol-2703/paperTD6.pdfAlman, A.
, Di Ciccio, C., Haas, D., Maggi, F. M., & Mendling, J. (2020).
Rule Mining in Action: The RuM Toolkit. In C. Di Ciccio, B. Depaire, J. De Weerdt, C. Di Francescomarino, & J. Munoz-Gama (Eds.),
Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), Padua, Italy, October 4-9, 2020 (Vol. 2703, pp. 51-54). (CEUR Workshop Proceedings). CEUR WS.
http://ceur-ws.org/Vol-2703/paperTD9.pdfCecconi, A., De Giacomo, G.
, Di Ciccio, C., & Mendling, J. (2020).
A Temporal Logic-Based Measurement Framework for Process Mining. In B. F. V. Dongen, M. Montali, & M. T. Wynn (Eds.),
2nd International Conference on Process Mining, ICPM 2020, Padua, Italy, October 4-9, 2020 (pp. 113-120). IEEE.
https://doi.org/10.1109/ICPM49681.2020.00026Alman, A.
, Di Ciccio, C., Haas, D., Maggi, F. M., & Nolte, A. (2020).
Rule Mining with RuM. In B. F. V. Dongen, M. Montali, & M. T. Wynn (Eds.),
2nd International Conference on Process Mining, ICPM 2020, Padua, Italy, October 4-9, 2020 (pp. 121-128). IEEE.
https://doi.org/10.1109/ICPM49681.2020.00027Mühlberger, R., Bachhofner, S., Castelló Ferrer, E.
, Di Ciccio, C., Weber, I., Wöhrer, M., & Zdun, U. (2020).
Foundational Oracle Patterns: Connecting Blockchain to the Off-chain World. In A. Asatiani, J. M. García, N. Helander, A. Jiménez Ramírez, A. Koschmider, J. Mendling, G. Meroni, & H. Reijers (Eds.),
Business Process Management: Blockchain and Robotic Process Automation Forum - BPM 2020 Blockchain and RPA Forum, Seville, Spain, September 13-18, 2020, Proceedings (pp. 35-51). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-030-58779-6_3Di Ciccio, C., Meroni, G., & Plebani, P. (2020).
Business Process Monitoring on Blockchains: Potentials and Challenges. In S. Nurcan, I. Reinhartz-Berger, P. Soffer, & J. Zdravkovic (Eds.),
Enterprise, Business-Process and Information Systems Modeling - 21st International Conference, BPMDS 2020, 25th International Conference, EMMSAD 2020, Held at CAiSE 2020, Grenoble, France, June 8-9, 2020, Proceedings (Vol. 387, pp. 36-51). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-030-49418-6_3 Di Ciccio, C. (2020).
Towards a Process-oriented Analysis of Blockchain Data. In J. Michael, D. Bork, H.-G. Fill, P. Fettke, D. Karagiannis, J. Köpke, A. Koschmider, H. C. Mayr, J.-R. Rehse, U. Reimer, M. Striewe, M. Tropmann-Frick, & M. Ullrich (Eds.),
Companion Proceedings of Modellierung 2020 Short, Workshop and Tools Demo Papers co-located with Modellierung 2020, Vienna, Austria, February 19-21, 2020 (Vol. 2542, pp. 42-44). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-2542/MOD-DLT1.pdf Janiesch, C., Koschmider, A., Mecella, M., Weber, B., Burattin, A.
, Di Ciccio, C., Fortino, G., Gal, A., Kannengiesser, U., Mannhardt, F., Marrella, A., Mendling, J., Oberweis, A., Reichert, M., Rinderle-Ma, S., Serral, E., Song, W., Su, J., Torres, V., ... Zhang, L. (2020).
The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges.
IEEE Systems, Man, and Cybernetics Magazine,
6(4), 34-44.
https://doi.org/10.1109/MSMC.2020.3003135Polyvyanyy, A., Solti, A., Weidlich, M.
, Di Ciccio, C., & Mendling, J. (2020).
Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems.
ACM Transactions on Software Engineering and Methodology,
29(3), Article 17.
https://doi.org/10.1145/3387909Figl, K.
, Ciccio, C. D., & Reijers, H. A. (2020).
Do Declarative Process Models Help to Reduce Cognitive Biases Related to Business Rules? In G. Dobbie, U. Frank, G. Kappel, S. W. Liddle, & H. C. Mayr (Eds.),
Conceptual Modeling: 39th International Conference, ER 2020, Vienna, Austria, November 3–6, 2020, Proceedings (1 ed., pp. 119-133). (Lecture Notes in Computer Science; Vol. 12400). Springer.
https://doi.org/10.1007/978-3-030-62522-1_92019
Scholarly publications
Di Ciccio, C., Gabryelczyk, R., García-Bañuelos, L., Hernaus, T., Hull, R., Indihar Štemberger, M., Kő, A., & Staples, M. (Eds.) (2019).
Business Process Management: Blockchain and Central and Eastern Europe Forum - BPM 2019 Blockchain and CEE Forum, Vienna, Austria, September 1-6, 2019, Proceedings. (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-030-30429-4 Azzam, A., Aryan, P. R., Cecconi, A.
, Di Ciccio, C., Ekaputra, F. J., Fernández, J. D., Karampatakis, S., Kiesling, E., Musil, A., Sabou, M., Shadlau, P., & Thurner, T. (2019).
The CitySPIN Platform: A CPSS Environment for City-Wide Infrastructures. In A. Longo, M. Fazio, R. Ranjan, & M. Zappatore (Eds.),
Proceedings of the 1st Workshop on Cyber-Physical Social Systems co-located with the 9th International Conference on the Internet of Things (IoT 2019), Bilbao, Spain, October 22, 2019 (Vol. 2530, pp. 57-64). (CEUR Workshop Proceedings). CEUR WS.
http://ceur-ws.org/Vol-2530/paper8.pdfYeshchenko, A.
, Di Ciccio, C., Mendling, J., & Polyvyanyy, A. (2019).
Comprehensive Process Drift Analysis with the Visual Drift Detection Tool. In J. I. Panach, R. S. S. Guizzardi, & D. B. Claro (Eds.),
Proceedings of the ER Forum and Poster Demos Session 2019 on Publishing Papers with CEUR-WS co-located with 38th International Conference on Conceptual Modeling (ER 2019), Salvador, Brazil, November 4, 2019 (Vol. 2469, pp. 108-112). (CEUR Workshop Proceedings). CEUR WS.
http://ceur-ws.org/Vol-2469/ERDemo01.pdfMühlberger, R., Bachhofner, S.
, Di Ciccio, C., García-Bañuelos, L., & López-Pintado, O. (2019).
Extracting Event Logs for Process Mining from Data Stored on the Blockchain. In R. M. Dijkman, C. Di Francescomarino, & U. Zdun (Eds.),
Business Process Management Workshops - BPM 2019 International Workshops, Vienna, Austria, September 1-6, 2019, Revised Selected Papers (Vol. 362, pp. 690-703). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-030-37453-2_55Bayomie, D.
, Di Ciccio, C., La Rosa, M., & Mendling, J. (2019).
A Probabilistic Approach to Event-Case Correlation for Process Mining. In G. Dobbie, U. Frank, G. Kappel, S. W. Liddle, & H. C. Mayr (Eds.),
Conceptual Modeling - 39th International Conference, ER 2019, Vienna, Austria, November 3-6, 2020, Proceedings (pp. 136-152). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-030-33223-5_12Yeshchenko, A.
, Di Ciccio, C., Mendling, J., & Polyvyanyy, A. (2019).
Comprehensive Process Drift Detection with Visual Analytics. In G. Dobbie, U. Frank, G. Kappel, S. W. Liddle, & H. C. Mayr (Eds.),
Conceptual Modeling - 39th International Conference, ER 2019, Vienna, Austria, November 3-6, 2020, Proceedings (pp. 119-135). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-030-33223-5_11Schönig, S.
, Di Ciccio, C., & Jan, M. (2019).
Configuring SQL-based process mining for performance and storage optimisation. In C.-C. Hung, & G. A. Papadopoulos (Eds.),
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019 (pp. 94-97). Association for Computing Machinery .
https://doi.org/10.1145/3297280.3297532van der Aa, H.
, Di Ciccio, C., Leopold, H., & Reijers, H. A. (2019).
Extracting Declarative Process Models from Natural Language. In P. Giorgini, & B. Weber (Eds.),
Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Rome, Italy, June 3-7, 2019, Proceedings (Vol. 11483, pp. 365-382). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-030-21290-2_23https://research-portal.uu.nl/ws/files/245384617/978-3-030-21290-2_23.pdfDi Ciccio, C., Ekaputra, F. J., Cecconi, A., Ekelhart, A., & Kiesling, E. (2019).
Finding Non-compliances with Declarative Process Constraints through Semantic Technologies. In C. Cappiello, & M. Ruiz (Eds.),
Information Systems Engineering in Responsible Information Systems - CAiSE Forum 2019, Rome, Italy, June 3-7, 2019, Proceedings (Vol. 350, pp. 60-74). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-030-21297-1_6 Vakulenko, S., Revoredo, K.
, Di Ciccio, C., & de Rijke, M. (2019).
QRFA: A Data-Driven Model of Information-Seeking Dialogues. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, & D. Hiemstra (Eds.),
Advances in Information Retrieval - 41st European Conference on Information Retrieval, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I (Vol. 11437, pp. 541-557). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-030-15712-8_35Soffer, P., Hinze, A., Koschmider, A., Ziekow, H.
, Di Ciccio, C., Koldehofe, B., Kopp, O., Jacobsen, A., Sürmeli, J., & Song, W. (2019).
From event streams to process models and back: Challenges and opportunities.
Information Systems,
81, 181-200.
https://doi.org/10.1016/j.is.2017.11.002Satyal, S., Weber, I., Paik, H.
, Di Ciccio, C., & Mendling, J. (2019).
Business process improvement with the AB-BPM methodology.
Information Systems,
84, 283-298.
https://doi.org/10.1016/j.is.2018.06.007Di Ciccio, C., Cecconi, A., Dumas, M., García-Bañuelos, L., López-Pintado, O., Lu, Q., Mendling, J., Ponomarev, A., Binh Tran, A., & Weber, I. (2019).
Blockchain Support for Collaborative Business Processes.
Informatik-Spektrum,
42(3), 182--190.
https://doi.org/10.1007/s00287-019-01178-x 2018
Scholarly publications
Satyal, S., Weber, I., Paik, H.
, Di Ciccio, C., & Mendling, J. (2018).
AB Testing for Process Versions with Contextual Multi-armed Bandit Algorithms. In J. Krogstie, & H. A. Reijers (Eds.),
Advanced Information Systems Engineering - 30th International Conference, CAiSE 2018, Tallinn, Estonia, June 11-15, 2018, Proceedings (Vol. 10816, pp. 19-34). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-91563-0_2Satyal, S., Weber, I., Paik, H.
, Di Ciccio, C., & Mendling, J. (2018).
Shadow Testing for Business Process Improvement. In H. Panetto, C. Debruyne, H. A. Proper, C. A. Ardagna, D. Roman, & R. Meersman (Eds.),
On the Move to Meaningful Internet Systems. OTM 2018 Conferences - Confederated International Conferences: CoopIS, CTC, and ODBASE 2018, Valletta, Malta, October 22-26, 2018, Proceedings, Part I (Vol. 11229, pp. 153-171). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-030-02610-3_9Di Ciccio, C., Cecconi, A., Mendling, J., Felix, D., Haas, D., Lilek, D., Riel, F., Rumpl, A., & Uhlig, P. (2018).
Blockchain-Based Traceability of Inter-organisational Business Processes. In B. Shishkov (Ed.),
Business Modeling and Software Design, BMSD 2018, Vienna, Austria, July 2-4, 2018, Proceedings (Vol. 319, pp. 56-68). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-319-94214-8_4 Cecconi, A.
, Di Ciccio, C., De Giacomo, G., & Mendling, J. (2018).
Interestingness of traces in declarative process mining: The Janus LTLpf approach. In M. Weske, M. Montali, I. Weber, & J. V. Brocke (Eds.),
Business Process Management - 16th International Conference, BPM 2018, Sydney, NSW, Australia, September 9-14, 2018, Proceedings (Vol. 11080, pp. 121-138). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-98648-7_8Maggi, F. M.
, Di Ciccio, C., Di Francescomarino, C., & Kala, T. (2018).
Parallel algorithms for the automated discovery of declarative process models.
Information Systems,
74, 136-152.
https://doi.org/10.1016/j.is.2017.12.002Schönig, S., Cabanillas, C.
, Di Ciccio, C., Jablonski, S., & Mendling, J. (2018).
Mining team compositions for collaborative work in business processes.
Software and Systems Modeling,
17(2), 675-693.
https://doi.org/10.1007/s10270-016-0567-4Baier, T.
, Di Ciccio, C., Mendling, J., & Weske, M. (2018).
Matching events and activities by integrating behavioral aspects and label analysis.
Software and Systems Modeling,
17(2), 573-598.
https://doi.org/10.1007/s10270-017-0603-zMendling, J., Weber, I., Aalst, W. V. D., Brocke, J. V., Cabanillas, C., Daniel, F., Debois, S.
, Ciccio, C. D., Dumas, M., Dustdar, S., Gal, A., García-Bañuelos, L., Governatori, G., Hull, R., Rosa, M. L.
, Leopold, H., Leymann, F., Recker, J., Reichert, M., ... Zhu, L. (2018).
Blockchains for business process management - Challenges and opportunities.
ACM Transactions on Management Information Systems.
https://doi.org/10.1145/31833672017
Scholarly publications
Meroni, G.
, Di Ciccio, C., & Mendling, J. (2017).
An Artifact-Driven Approach to Monitor Business Processes Through Real-World Objects. In E. M. Maximilien, A. Vallecillo, J. Wang, & M. Oriol (Eds.),
Service-Oriented Computing - 15th International Conference, ICSOC 2017, Malaga, Spain, November 13-16, 2017, Proceedings (Vol. 10601, pp. 297-313). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-69035-3_21Sturm, C., Schönig, S.
, & Di Ciccio, C. (2017).
Distributed Multi-Perspective Declare Discovery. In R. Clarisó, H. Leopold, J. Mendling, W. M. P. V. D. Aalst, A. Kumar, B. T. Pentland, & M. Weske (Eds.),
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017 (Vol. 1920). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1920/BPM_2017_paper_194.pdfBaresi, L.
, Di Ciccio, C., Mendling, J., Meroni, G., & Plebani, P. (2017).
mArtifact: an Artifact-driven Process Monitoring Platform. In R. Clarisó, H. Leopold, J. Mendling, W. M. P. V. D. Aalst, A. Kumar, B. T. Pentland, & M. Weske (Eds.),
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), Barcelona, Spain, September 13, 2017 (Vol. 1920, pp. 1-5). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1920/BPM_2017_paper_188.pdfSatyal, S., Weber, I., Paik, H.
, Di Ciccio, C., & Mendling, J. (2017).
AB-BPM: Performance-Driven Instance Routing for Business Process Improvement. In M. Weske, M. Montali, I. Weber, & J. V. Brocke (Eds.),
Business Process Management - 16th International Conference, BPM 2018, Sydney, NSW, Australia, September 9-14, 2018, Proceedings (Vol. 11080, pp. 113-129). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-65000-5_7Kis, I., Bachhofner, S.
, Di Ciccio, C., & Mendling, J. (2017).
Towards a Data-Driven Framework for Measuring Process Performance. In I. Reinhartz-Berger, J. Gulden, S. Nurcan, W. Guédria, & P. Bera (Eds.),
Enterprise, Business-Process and Information Systems Modeling: 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings (Vol. 287, pp. 3-18). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-319-59466-8_1Bachhofner, S., Kis, I.
, Di Ciccio, C., & Mendling, J. (2017).
Towards a Multi-parametric Visualisation Approach for Business Process Analytics. In A. Metzger, & A. Persson (Eds.),
Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings (Vol. 286, pp. 85-91). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-319-60048-2_8Meroni, G.
, Di Ciccio, C., & Mendling, J. (2017).
Artifact-driven Process Monitoring: Dynamically Binding Real-world Objects to Running Processes. In X. Franch, J. Ralyté, R. Matulevičius, C. Salinesi, & R. Wieringa (Eds.),
Proceedings of the Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE 2017, Essen, Germany, June 12-16, 2017 (Vol. 1848, pp. 105-112). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1848/CAiSE2017_Forum_Paper14.pdfDe Smedt, J.
, Di Ciccio, C., Vanthienen, J., & Mendling, J. (2017).
Model Checking of Mixed-Paradigm Process Models in a Discovery Context - Finding the Fit Between Declarative and Procedural. In M. Dumas, & M. Fantinato (Eds.),
Business Process Management Workshops - BPM 2016 International Workshops, Rio de Janeiro, Brazil, September 19, 2016, Revised Papers (Vol. 281, pp. 74-86). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-319-58457-7_6Di Ciccio, C., Maggi, F. M., Montali, M., & Mendling, J. (2017).
Resolving inconsistencies and redundancies in declarative process models.
Information Systems,
64, 425-446.
https://doi.org/10.1016/j.is.2016.09.005 2016
Scholarly publications
Puchovsky, M.
, Di Ciccio, C., & Mendling, J. (2016).
A Case Study on the Business Benefits of Automated Process Discovery. In P. Ceravolo, C. Guetl, & S. Rinderle-Ma (Eds.),
Proceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2016), Graz, Austria, December 15-16, 2016 (Vol. 1757, pp. 35-49). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1757/paper3.pdfSchönig, S.
, Di Ciccio, C., Maggi, F. M., & Mendling, J. (2016).
Discovery of Multi-perspective Declarative Process Models. In Q. Z. Sheng, E. Stroulia, S. Tata, & S. Bhiri (Eds.),
Service-Oriented Computing - 14th International Conference, ICSOC 2016, Banff, AB, Canada, October 10-13, 2016, Proceedings (Vol. 9936, pp. 87-103). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-46295-0_6Maggi, F. M., Montali, M.
, Di Ciccio, C., & Mendling, J. (2016).
Semantical Vacuity Detection in Declarative Process Mining. In M. La Rosa, P. Loos, & O. Pastor (Eds.),
Business Process Management - 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings (Vol. 9850, pp. 158-175). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-45348-4_10Kala, T., Maggi, F. M.
, Di Ciccio, C., & Di Francescomarino, C. (2016).
Apriori and Sequence Analysis for Discovering Declarative Process Models. In F. Matthes, J. Mendling, & S. Rinderle-Ma (Eds.),
20th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2016, Vienna, Austria, September 5-9, 2016 (pp. 50-58). IEEE.
https://doi.org/10.1109/EDOC.2016.7579378Hanser, M.
, Di Ciccio, C., & Mendling, J. (2016).
A Novel Framework for Visualizing Declarative Process Models. In C. Hochreiner, & S. Schulte (Eds.),
Proceedings of the 8th ZEUS Workshop, Vienna, Austria, January 27-28, 2016 (Vol. 1562, pp. 5-12). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1562/paper1.pdfBaumgraß, A., Botezatu, M.
, Di Ciccio, C., Dijkman, R., Grefen, P., Hewelt, M., Mendling, J., Meyer, A., Pourmirza, S., & Völzer, H. (2016).
Towards a Methodology for the Engineering of Event-Driven Process Applications. In M. Reichert, & H. A. Reijers (Eds.),
Business Process Management Workshops - BPM 2015 International Workshops, Innsbruck, Austria, August 31 -- September 3, 2015, Revised Papers (Vol. 256, pp. 501-514). (Lecture Notes in Business Information Processing). Springer International Publishing.
https://doi.org/10.1007/978-3-319-42887-1_40Schönig, S., Cabanillas, C.
, Di Ciccio, C., Jablonski, S., & Mendling, J. (2016).
Mining Resource Assignments and Teamwork Compositions from Process Logs.
Softwaretechnik-Trends,
36(4).
https://fb-swt.gi.de/fileadmin/FB/SWT/Softwaretechnik-Trends/Verzeichnis/Band_36_Heft_4/Schoenig_et_al_2016.pdfDi Ciccio, C., van der Aa, H., Cabanillas, C., Mendling, J., & Prescher, J. (2016).
Detecting flight trajectory anomalies and predicting diversions in freight transportation.
Decision Support Systems,
88, 1-17.
https://doi.org/10.1016/j.dss.2016.05.004 2015
Scholarly publications
Di Ciccio, C., Mecella, M., & Mendling, J. (2015).
The Effect of Noise on Mined Declarative Constraints. In P. Ceravolo, R. Accorsi, & P. Cudre-Mauroux (Eds.),
Data-Driven Process Discovery and Analysis (Vol. 203, pp. 1-24). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-662-46436-6_1 Di Ciccio, C., Schouten, M. H. M., de Leoni, M., & Mendling, J. (2015).
Declarative Process Discovery with MINERful in ProM. In F. Daniel, & S. Zugal (Eds.),
Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), Innsbruck, Austria, September 2, 2015 (Vol. 1418, pp. 60-64). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1418/paper13.pdf Di Ciccio, C., Maggi, F. M., Montali, M., & Mendling, J. (2015).
Ensuring Model Consistency in Declarative Process Discovery. In H. R. Motahari-Nezhad, J. Recker, & M. Weidlich (Eds.),
Business Process Management - 13th International Conference, BPM 2015, Innsbruck, Austria, August 31 - September 3, 2015, Proceedings (Vol. 9253, pp. 144-159). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-23063-4_9 Di Ciccio, C., Fernández, J. D., & Umbrich, J. (2015). Improving the Usability of Open Data Portals from a Business Process Perspective. In Open Data Quality: from Theory to Practice Workshop, ODQ 2015, Munich, 30 March 2015 (pp. 6-10). Network of Excellence in Internet Science.
Di Ciccio, C., Bernardi, M. L., Cimitile, M., & Maggi, F. M. (2015).
Generating Event Logs through the Simulation of Declare Models. In J. Barjis, R. Pergl, & E. Babkin (Eds.),
Enterprise and Organizational Modeling and Simulation - 11th International Workshop, EOMAS 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Selected Papers (Vol. 231, pp. 20-36). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-319-24626-0_2 Baumgrass, A.
, Di Ciccio, C., Dijkman, R. M., Hewelt, M., Mendling, J., Meyer, A., Pourmirza, S., Weske, M., & Wong, T. Y. (2015).
GET Controller and UNICORN: Event-driven Process Execution and Monitoring in Logistics. In F. Daniel, & S. Zugal (Eds.),
Proceedings of the BPM Demo Session 2015 Co-located with the 13th International Conference on Business Process Management (BPM 2015), Innsbruck, Austria, September 2, 2015 (Vol. 1418, pp. 75-79). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1418/paper16.pdfBaumgrass, A., Cabanillas, C.
, & Di Ciccio, C. (2015).
A Conceptual Architecture for an Event-based Information Aggregation Engine in Smart Logitics. In J. Kolb, H. Leopold, & J. Mendling (Eds.),
Enterprise Modelling and Information Systems Architectures, Proceedings of the 6th Int. Workshop on Enterprise Modelling and Information Systems Architectures, EMISA 2015, Innsbruck, Austria, September 3-4, 2015 (Vol. 248, pp. 109-123). (Lecture Notes in Informatics (LNI)). Gesellschaft fur Informatik (GI).
https://dl.gi.de/handle/20.500.12116/2040Baier, T.
, Di Ciccio, C., Mendling, J., & Weske, M. (2015).
Matching of Events and Activities - An Approach Using Declarative Modeling Constraints. In K. Gaaloul, R. Schmidt, S. Nurcan, S. Guerreiro, & Q. Ma (Eds.),
Enterprise, Business-Process and Information Systems Modeling - 16th International Conference, BPMDS 2015, 20th International Conference, EMMSAD 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Proceedings (Vol. 214, pp. 119-134). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-319-19237-6_8Di Ciccio, C., & Mecella, M. (2015).
On the Discovery of Declarative Control Flows for Artful Processes.
ACM Transactions on Management Information Systems,
5(4), 24:1-24:37. Article 24.
https://doi.org/10.1145/2629447 Di Ciccio, C., Marrella, A., & Russo, A. (2015).
Knowledge-intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches.
Journal on Data Semantics,
4(1), 29-57.
https://doi.org/10.1007/s13740-014-0038-4 2014
Scholarly publications
Räim, M.
, Di Ciccio, C., Maggi, F. M., Mecella, M., & Mendling, J. (2014).
Log-Based Understanding of Business Processes through Temporal Logic Query Checking. In R. Meersman, H. Panetto, T. S. Dillon, M. Missikoff, L. Liu, O. Pastor, A. Cuzzocrea, & T. Sellis (Eds.),
On the Move to Meaningful Internet Systems: OTM 2014 Conferences - Confederated International Conferences: CoopIS, and ODBASE 2014, Amantea, Italy, October 27-31, 2014, Proceedings (Vol. 8841, pp. 75-92). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-662-45563-0_5Prescher, J.
, Di Ciccio, C., & Mendling, J. (2014).
From Declarative Processes to Imperative Models. In R. Accorsi, P. Ceravolo, & B. Russo (Eds.),
Proceedings of the 4th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2014), Milan, Italy, November 19-21, 2014 (Vol. 1293, pp. 162-173). (CEUR Workshop Proceedings). CEUR-WS.org.
https://doi.org/10.13140/2.1.1577.4409Di Ciccio, C., Maggi, F. M., & Mendling, J. (2014).
Discovering Target-Branched Declare Constraints. In S. W. Sadiq, P. Soffer, & H. Völzer (Eds.),
Business Process Management - 12th International Conference, BPM 2014, Haifa, Israel, September 7-11, 2014 (Vol. 8659, pp. 34-50). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-10172-9_3 Cabanillas, C.
, Di Ciccio, C., Mendling, J., & Baumgrass, A. (2014).
Predictive Task Monitoring for Business Processes. In S. W. Sadiq, P. Soffer, & H. Völzer (Eds.),
Business Process Management - 12th International Conference, BPM 2014, Haifa, Israel, September 7-11, 2014 (Vol. 8659, pp. 424-432). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-319-10172-9_31Cabanillas, C., Curik, A.
, Di Ciccio, C., Gutjahr, M., Mendling, J., Prescher, J., & Simecka, J. (2014).
Combining Event Processing and Support Vector Machines for Automated Flight Diversion Predictions. In A. Baumgraß, N. Herzberg, G. Kappel, J. Mendling, A. Meyer, & S. Rinderle-Ma (Eds.),
Joint Proceedings of the 1st International Workshop on Modeling Inter-Organizational Processes and 1st International Workshop on Event Modeling and Processing in Business Process Management co-located with Modellierung 2014, Vienna, Austria, March 19, 2014. (Vol. 1185, pp. 45-47). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1185/paper5.pdfCabanillas, C., Campara, E.
, Di Ciccio, C., Koziel, B., Mendling, J., Paulitschke, J., & Prescher, J. (2014).
Towards a Prediction Engine for Flight Delays based on Weather Analysis. In A. Baumgraß, N. Herzberg, G. Kappel, J. Mendling, A. Meyer, & S. Rinderle-Ma (Eds.),
Joint Proceedings of the 1st International Workshop on Modeling Inter-Organizational Processes and 1st International Workshop on Event Modeling and Processing in Business Process Management co-located with Modellierung 2014, Vienna, Austria, March 19, 2014. (Vol. 1185, pp. 49-51). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1185/paper6.pdf2013
Scholarly publications
Di Ciccio, C., & Mecella, M. (2013).
Studies on the Discovery of Declarative Control Flows from Error-prone Data. In R. Accorsi, P. Ceravolo, & P. Cudré-Mauroux (Eds.),
Proceedings of the 3rd International Symposium on Data-driven Process Discovery and Analysis, Riva del Garda, Italy, August 30, 2013 (Vol. 1027, pp. 31-45). (CEUR Workshop Proceedings). CEUR-WS.org.
http://ceur-ws.org/Vol-1027/paper3.pdf Di Ciccio, C., & Mecella, M. (2013).
A Two-Step Fast Algorithm for the Automated Discovery of Declarative Workflows. In
IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013, Singapore, 16-19 April, 2013 (pp. 135-142). IEEE.
https://doi.org/10.1109/CIDM.2013.6597228 2012
Scholarly publications
Di Ciccio, C., Mecella, M., Scannapieco, M., Zardetto, D., & Catarci, T. (2012).
MailOfMine - Analyzing Mail Messages for Mining Artful Collaborative Processes. In K. Aberer, E. Damiani, & T. Dillon (Eds.),
Data-Driven Process Discovery and Analysis (Vol. 116, pp. 55-81). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-642-34044-4_4 Di Ciccio, C., Marrella, A., & Russo, A. (2012).
Knowledge-intensive Processes: An Overview of Contemporary Approaches. In A. H. M. ter Hofstede, M. Mecella, S. Sardina, & A. Marrella (Eds.),
1st International Workshop on Knowledge-intensive Business Processes, KiBP 2012, Rome, Italy, June 15, 2012 (Vol. 861, pp. 33-47). CEUR-WS.org.
http://ceur-ws.org/Vol-861/KiBP2012_paper_2.pdf Di Ciccio, C., & Mecella, M. (2012).
Mining Constraints for Artful Processes. In W. Abramowicz, D. Kriksciuniene, & V. Sakalauskas (Eds.),
Business Information Systems - 15th International Conference, BIS 2012, Vilnius, Lithuania, May 21-23, 2012. Proceedings (Vol. 117, pp. 11-23). (Lecture Notes in Business Information Processing). Springer.
https://doi.org/10.1007/978-3-642-30359-3_2 De Giacomo, G.
, Di Ciccio, C., Felli, P., Hu, Y., & Mecella, M. (2012).
Goal-based Composition of Stateful Services for Smart Homes. In R. Meersman, H. Panetto, T. S. Dillon, S. Rinderle-Ma, P. Dadam, X. Zhou, S. Pearson, A. Ferscha, S. Bergamaschi, & I. F. Cruz (Eds.),
On the Move to Meaningful Internet Systems: OTM 2012, Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2012, Rome, Italy, September 10-14, 2012. Proceedings, Part I (Vol. 7565, pp. 194-211). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-642-33606-5_13Caruso, M.
, Di Ciccio, C., Iacomussi, E., Kaldeli, E., Lazovik, A., & Mecella, M. (2012).
Service Ecologies for Home/Building Automation. In I. Petrovic, & P. Korondi (Eds.),
10th International IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, September 5-7, 2012 (Vol. 10, pp. 467-472). (Robot Control). IFAC Secretariat.
https://doi.org/10.3182/20120905-3-HR-2030.001912011
Scholarly publications
Di Ciccio, C., Mecella, M., Scannapieco, M., & Zardetto, D. (2011). Groupware Mail Messages Analysis for Mining Collaborative Processes. In G. Mecca, & S. Greco (Eds.), Sistemi Evoluti per Basi di Dati - SEBD 2011, Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems, Maratea, Italy, June 26-29, 2011 (pp. 397-404)
Di Ciccio, C., Catarci, T., & Mecella, M. (2011).
Representing and Visualizing Mined Artful Processes in MailOfMine. In A. Holzinger, & K.-M. Simonic (Eds.),
Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Graz, Austria, November 25-26, 2011. Proceedings (Vol. 7058, pp. 83-94). (Lecture Notes in Computer Science). Springer.
https://doi.org/10.1007/978-3-642-25364-5_9 Catarci, T.
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