Pubblicazioni di Di Ciccio Claudio
2019
Yeshchenko A., Di Ciccio C., Mendling J., Polyvyanyy A.
Comprehensive process drift analysis with the visual drift detection tool. CEUR Workshop Proceedings 2019: 108-112
Yeshchenko A., Di Ciccio C., Mendling J., Polyvyanyy A.
Comprehensive process drift detection with visual analytics. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019: 119-135
Schonig S., Di Ciccio C., Mendling J.
Configuring SQL-based process mining for performance and storage optimisation. Proceedings of the ACM Symposium on Applied Computing 2019: 94-97
van der Aa H., Di Ciccio C., Leopold H., Reijers H. A.
Extracting declarative process models from natural language. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019: 365-382
Muhlberger R., Bachhofner S., Di Ciccio C., Garcia-Banuelos L., Lopez-Pintado O.
Extracting event logs for process mining from data stored on the blockchain. Lecture Notes in Business Information Processing 2019: 690-703
Di Ciccio C., Ekaputra F. J., Cecconi A., Ekelhart A., Kiesling E.
Finding non-compliances with declarative process constraints through semantic technologies. Lecture Notes in Business Information Processing 2019: 60-74
Soffer P., Hinze A., Koschmider A., Ziekow H., Di Ciccio C., Koldehofe B., Kopp O., Jacobsen A., Surmeli J., Song W.
From event streams to process models and back: Challenges and opportunities. INFORMATION SYSTEMS 2019: 181-200
Vakulenko S., Revoredo K., Di Ciccio C., de Rijke M.
QRFA: A data-driven model of information-seeking dialogues. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019: 541-557
Azzam A., Aryan P. R., Cecconi A., Di Ciccio C., Ekaputra F. J., Fernandez J., Karampatakis S., Kiesling E., Musil A., Sabou M., Shadlau P., Thurner T.
The CitySpin platform: A CPSS environment for city-wide infrastructures. CPSS 2019 Cyber-Physical Social Systems 2019: 57-64
2018
Polyvyanyy Artem, ter Hofstede Arthur H. M., Di Ciccio Claudio
Vanthienen Jan, Di Ciccio Claudio, Reijers Hajo A., Slaats Tijs, Schunselaar Dennis, Debois Søren
Suhrid Satyal, Ingo Weber, Hye-young Paik, Di Ciccio C, Jan Mendling:
AB testing for process versions with contextual multi-armed bandit algorithms. Advanced Information Systems Engineering 2018: 19-34
Di Ciccio C, Alessio Cecconi, Jan Mendling, Dominik Felix, Dominik Haas, Daniel Lilek, Florian Riel, Andreas Rumpl, Philipp Uhlig
Blockchain-based traceability of inter-organisational business processes. Business Modeling and Software Design 2018: 56-68
Mendling J., Weber I., Van Der Aalst W., Brocke J. V., Cabanillas C., Daniel F., Debois S., Di Ciccio C., Dumas M., Dustdar S., Gal A., Garcia-Banuelos L., Governatori G., Hull R., La Rosa M., Leopold H., Leymann F., Recker J., Reichert M., Reijers H. A., Rinderlema S., Solti A., Rosemann M., Schulte S., Singh M. P., Slaats T., Staples M., Weber B., Weidlich M., Weske M., Xu X., Zhu L.
Blockchains for business process management - Challenges and opportunities. ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS 2018: 1-16
Di Ciccio Claudio, Debois Søren, Schunselaar Dennis, Vanthienen Jan, Slaats Tijs
Cecconi Alessio, Di Ciccio Claudio, De Giacomo Giuseppe, Mendling Jan
Interestingness of traces in declarative process mining: The janus LTLPf Approach. Business Process Management 2018: 121-138
Baier T., Di Ciccio C., Mendling J., Weske M.
Matching events and activities by integrating behavioral aspects and label analysis. SOFTWARE AND SYSTEMS MODELING 2018: 573-598
Schonig S., Cabanillas C., Di Ciccio C., Jablonski S., Mendling J.
Mining team compositions for collaborative work in business processes. SOFTWARE AND SYSTEMS MODELING 2018: 675-693
Di Ciccio C., Maggi F. M., Montali M., Mendling J.
On the relevance of a business constraint to an event log. INFORMATION SYSTEMS 2018: 144-161
Maggi F. M., Di Ciccio C., Di Francescomarino C., Kala T.
Parallel algorithms for the automated discovery of declarative process models. INFORMATION SYSTEMS 2018: 136-152
Suhrid Satyal, Ingo Weber, Hye-young Paik, Di Ciccio C, Jan Mendling
Shadow testing for business process improvement. On the Move to Meaningful Internet Systems. OTM 2018 Conferences 2018: 153-171
2017
Satyal Suhrid, Weber Ingo, Paik Hye-young, DI CICCIO Claudio, Mendling Jan
AB-BPM: performance-driven instance routing for business process improvement. Business process management 2017: 113-129
Giovanni Meroni, Di Ciccio C, Jan Mendling
An artifact-driven approach to monitor business processes through real-world objects. Service-oriented computing 2017: 297-313
Meroni Giovanni, Di Ciccio Claudio, Mendling Jan
Artifact-driven process monitoring: dynamically binding real-world objects to running processes. Proceedings of the Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering 2017: 105-112
Sturm Christian, Schönig Stefan, Di Ciccio Claudio
Distributed multi-perspective declare discovery. BPM Demo Track and BPM Dissertation Award 2017: -
Baresi Luciano, Di Ciccio Claudio, Mendling Jan, Meroni Giovanni, Plebani Pierluigi
mArtifact: an Artifact-driven Process Monitoring Platform. 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 2017: -
De Smedt Johannes, Di Ciccio C, Vanthienen Jan, Mendling Jan
Model checking of mixed-paradigm process models in a discovery context: finding the fit between declarative and procedural. Business Process Management Workshops 2017: 74-86
Di Ciccio C., Maggi F. M., Montali M., Mendling J.
Resolving inconsistencies and redundancies in declarative process models. INFORMATION SYSTEMS 2017: 425-446
Kis Isa, Bachhofner Stefan, Di Ciccio C, Mendling Jan
Towards a data-driven framework for measuring process performance. Enterprise, business-process and information systems modeling 2017: 3-18
Bachhofner Stefan, Kis Isabella, DI CICCIO Claudio, Mendling Jan
Towards a multi-parametric visualisation approach for business process analytics. Advanced Information Systems Engineering Workshops 2017: 85-91
2016
Puchovsky Matej, DI CICCIO Claudio, Mendling Jan
A case study on the business benefits of automated process discovery. CEUR Workshop Proceedings 2016: 35-49
Hanser M., Di Ciccio C., Mendling J.
A new notational framework for declarative process modeling. SOFTWARETECHNIK-TRENDS 2016: 53-56
Michael Hanser, DI CICCIO Claudio, Jan Mendling
A novel framework for visualizing declarative process models. Proceedings of the 8th ZEUS Workshop 2016: 5-12
Taavi Kala, Fabrizio Maria Maggi, Di Ciccio C, Chiara Di Francescomarino
Apriori and sequence analysis for discovering declarative process models. 2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC) 2016: 50-58
Di Ciccio C., van der Aa H., Cabanillas C., Mendling J., Prescher J.
Detecting flight trajectory anomalies and predicting diversions in freight transportation. DECISION SUPPORT SYSTEMS 2016: 1-17
Di Ciccio C., Maggi F. M., Mendling J.
Efficient discovery of Target-Branched Declare constraints. INFORMATION SYSTEMS 2016: 258-283
Schönig S., Cabanillas C., Di Ciccio C., Jablonski S., Mendling J.
Mining resource assignments and teamwork compositions from process logs. SOFTWARETECHNIK-TRENDS 2016: 1-6
Baumgraß Anne, Botezatu Mirela, DI CICCIO Claudio, Dijkman Remco, Grefen Paul, Hewelt Marcin, Mendling Jan, Meyer Andreas, Pourmirza Shaya, Völzer Hagen
Towards a methodology for the engineering of event-driven process applications. Proceedings of Business Process Management Workshops BPM 2015, 13th International Workshops 2016: 501-514
2015
Di Ciccio Claudio, Schouten Mitchel H. M., De Leoni Massimiliano, Mendling Jan
Declarative Process Discovery with MINERful in ProM. 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 2015: 60-64
DI CICCIO Claudio, MAGGI FABRIZIO MARIA, Montali Marco, Mendling Jan
Ensuring model consistency in declarative process discovery. Business Process Management 2015: 144-159
Di Ciccio C, Bernardi Mario Luca, Cimitile Marta, Maggi Fabrizio Maria
Generating event logs through the simulation of declare models. Enterprise and organizational modeling and simulation 2015: 20-36
Baumgrass Anne, Di Ciccio Claudio, Dijkman Remco M., Hewelt Marcin, Mendling Jan, Meyer Andreas, Pourmirza Shaya, Weske Mathias, Yin Wong Tsun
GET Controller and UNICORN: Event-driven Process Execution and Monitoring in Logistics. 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 2015: 75-79
Di Ciccio Claudio, Marrella Andrea, Russo Alessandro
Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches. JOURNAL ON DATA SEMANTICS 2015: 29-57
Baier T, Di Ciccio C, Mendling J, Weske M
Matching of events and activities – an approach using declarative modeling constraints. Enterprise, business-process and information systems modeling 2015: 119-134
DI CICCIO Claudio, Mecella Massimo, Mendling Jan
The effect of noise on mined declarative constraints. Data-Driven Process Discovery and Analysis 2015: 1-24
2014
Margus Räim, DI CICCIO Claudio, Fabrizio Maria Maggi, Mecella Massimo, Jan Mendling
Log-Based Understanding of Business Processes through Temporal Logic Query Checking. Lecture Notes in Computer Science, On the Move to Meaningful Internet Systems: OTM 2014 Conferences 2014: 75-92
2013-10-07
DI CICCIO Claudio
On the mining of artful processes. 2013-10-07: -
2013
DI CICCIO Claudio, Mecella Massimo
A two-step fast algorithm for the automated discovery of declarative workflows. 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) 2013: 135-142
DI CICCIO Claudio, Mecella Massimo
Mining Artful Processes from Knowledge Workers' Emails. IEEE INTERNET COMPUTING 2013: 10-20
DI CICCIO Claudio, Mecella Massimo
Studies on the Discovery of Declarative Control Flows from Error-prone Data. Proceedings of the 3rd International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2013) 2013: 31-45