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ORCIDPaolo Ceravolo
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- affiliation: Università degli Studi di Milano, Italy
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2020 – today
- 2024
[j29]Paolo Ceravolo
, Sylvio Barbon Junior, Ernesto Damiani, Wil M. P. van der Aalst:
Tuning Machine Learning to Address Process Mining Requirements. IEEE Access 12: 24583-24595 (2024)- [j28]Malina Grigore, Gabriel Marques Tavares, Matheus Camilo da Silva, Paolo Ceravolo, Sylvio Barbon Junior:
Automated Trace Clustering Pipeline Synthesis in Process Mining. Inf. 15(4): 241 (2024) - [j27]Paolo Ceravolo, Tiziana Catarci, Marco Console, Philippe Cudré-Mauroux, Sven Groppe, Katja Hose, Jaroslav Pokorný, Oscar Romero, Robert Wrembel:
moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows. SIGWEB Newsl. 2024(Winter): 4:1-4:16 (2024) - [c110]Valerio Bellandi, Paolo Ceravolo, Stefano Siccardi:
Enhancing Semantic Exploration: A Distributed Repository Approach. BiDEDE@SIGMOD 2024: 5:1-5:5 - [c109]Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe, Mustafa Jarrar, Samira Maghool, Florence Sèdes, Soror Sahri, Maurice van Keulen:
Are Large Language Models the New Interface for Data Pipelines? BiDEDE@SIGMOD 2024: 6:1-6:6 - [c108]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models. BPM 2024: 328-344 - [c107]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering. CAiSE 2024: 71-86 - [c106]Tommaso Romano, Fatemeh Mohammadi, Paolo Ceravolo:
Synthetic Data for Identifying Inclusive Language (Case Study: Job Descriptions in Italian). CSR 2024: 737-742 - [c105]Paolo Ceravolo, Fatemeh Mohammadi, Marta Annamaria Tamborini:
Active Learning Methodology in LLMs Fine-Tuning. CSR 2024: 743-749 - [i9]Rabia Maqsood, Paolo Ceravolo, C. Romero, S. Ventura:
Modeling and predicting students' engagement behaviors using mixture Markov models. CoRR abs/2403.05556 (2024) - [i8]Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe, Mustafa Jarrar, Samira Maghool, Florence Sèdes, Soror Sahri, Maurice van Keulen:
Are Large Language Models the New Interface for Data Pipelines? CoRR abs/2406.06596 (2024) - 2023
- [j26]Mírian Halfeld Ferrari, Paolo Ceravolo, Sonja Ristic, Yaser Jararweh, Dimitrios Katsaros:
Guest editorial: Advances in intelligent data, data engineering, and information systems. Comput. Sci. Inf. Syst. 20(3): v-vii (2023) - [j25]Gabriel M. Tavares, Rafael Seidi Oyamada, Sylvio Barbon, Paolo Ceravolo:
Trace encoding in process mining: A survey and benchmarking. Eng. Appl. Artif. Intell. 126(Part D): 107028 (2023) - [j24]Paolo Ceravolo, Claudio Di Ciccio, Chiara Di Francescomarino, María Teresa Gómez-López, Fabrizio Maria Maggi, Renuka Sindhgatta:
Editorial: recent advances in process analytics. J. Intell. Inf. Syst. 61(1): 1-3 (2023) - [c104]Samira Maghool, Elena Casiraghi, Paolo Ceravolo:
Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks. CoopIS 2023: 3-20 - [c103]Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
A Scikit-learn Extension Dedicated to Process Mining Purposes. CoopIS (Demos) 2023: 11-15 - [c102]Paolo Ceravolo, Samira Maghool, Andrei Georgiani Talpalaru:
A Web Application to Demonstrate the Properties of Label Propagation Algorithms. CoopIS (Demos) 2023: 16-20 - [c101]Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl:
FEEED: Feature Extraction from Event Data. ICPM Doctoral Consortium / Demo 2023 - [i7]Sylvio Barbon Jr., Paolo Ceravolo, Rafael Seidi Oyamada, Gabriel M. Tavares:
Trace Encoding in Process Mining: a survey and benchmarking. CoRR abs/2301.02167 (2023) - [i6]Rafael Seidi Oyamada, Gabriel M. Tavares, Paolo Ceravolo:
CoSMo: a Framework for Implementing Conditioned Process Simulation Models. CoRR abs/2303.17879 (2023) - [i5]Paolo Ceravolo, Sylvio Barbon Junior, Ernesto Damiani, Wil M. P. van der Aalst:
Tailoring Machine Learning for Process Mining. CoRR abs/2306.10341 (2023) - 2022
- [j23]Valerio Bellandi, Paolo Ceravolo, Samira Maghool, Stefano Siccardi:
Toward a General Framework for Multimodal Big Data Analysis. Big Data 10(5): 408-424 (2022) - [j22]Rabia Maqsood, Paolo Ceravolo, Cristóbal Romero, Sebastián Ventura:
Modeling and predicting students' engagement behaviors using mixture Markov models. Knowl. Inf. Syst. 64(5): 1349-1384 (2022) - [j21]Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani:
Evaluation Goals for Online Process Mining: A Concept Drift Perspective. IEEE Trans. Serv. Comput. 15(4): 2473-2489 (2022) - [j20]Valerio Bellandi, Paolo Ceravolo, Samira Maghool, Stefano Siccardi:
Graph embeddings in criminal investigation: towards combining precision, generalization and transparency. World Wide Web 25(6): 2379-2402 (2022) - [c100]Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani, Paolo Ceravolo:
Selecting Optimal Trace Clustering Pipelines with Meta-learning. BRACIS (1) 2022: 150-164 - [c99]Valerio Bellandi, Paolo Ceravolo, Samira Maghool, Margherita Pindaro, Stefano Siccardi:
Pattern Matching Algorithm in Event Graphs. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-7 - [c98]Valerio Bellandi, Paolo Ceravolo, Giacomo Alberto D'Andrea, Samira Maghool, Stefano Siccardi:
A Methodology to Manage Structured and Semi-structured Data in Knowledge Oriented Graph. EANN 2022: 215-222 - [c97]Valerio Bellandi, Silvana Castano, Paolo Ceravolo, Ernesto Damiani, Alfio Ferrara, Stefano Montanelli, Sergio Picascia, Antongiacomo Polimeno, Davide Riva:
Knowledge-Based Legal Document Retrieval: A Case Study on Italian Civil Court Decisions. EKAW (Companion) 2022 - [c96]Valerio Bellandi, Paolo Ceravolo, Mauro Conti, Maryam Ehsanpour:
Contactless Authentication for Wearable Devices Using RFID. ICDH 2022: 234-239 - [c95]Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Samira Maghool:
Agent-Based Vector-Label Propagation for Explaining Social Network Structures. KMO 2022: 306-317 - [c94]Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Ernesto Damiani:
Evaluation Goals for Online Process Mining: a Concept Drift Perspective. SERVICES 2022: 27 - [e15]Mohamed Sellami, Paolo Ceravolo, Hajo A. Reijers, Walid Gaaloul, Hervé Panetto:
Cooperative Information Systems - 28th International Conference, CoopIS 2022, Bozen-Bolzano, Italy, October 4-7, 2022, Proceedings. Lecture Notes in Computer Science 13591, Springer 2022, ISBN 978-3-031-17833-7 [contents] - [e14]Paolo Ceravolo, Christian Guetl, Yaser Jararweh, Elhadj Benkhelifa:
Ninth International Conference on Social Networks Analysis, Management and Security, SNAMS 2022, Milan, Italy, November 29 - Dec. 1, 2022. IEEE 2022, ISBN 979-8-3503-2048-0 [contents] - [d1]Gabriel Marques Tavares, Sylvio Barbon Jr., Paolo Ceravolo:
Synthetic Event Streams. IEEE DataPort, 2022
- 2021
- [j19]José Miguel Pérez-Álvarez, Luisa Parody, María Teresa Gómez-López, Rafael M. Gasca, Paolo Ceravolo:
Decision-making support for input data in business processes according to former instances. Comput. Sci. Inf. Syst. 18(3): 835-865 (2021) - [j18]Valerio Bellandi, Paolo Ceravolo, Alessia Cristiano, Ernesto Damiani, Alberto Sanna, Diana Trojaniello:
A design methodology for matching smart health requirements. Concurr. Comput. Pract. Exp. 33(22) (2021) - [j17]Mohamad Arafeh, Paolo Ceravolo, Azzam Mourad, Ernesto Damiani, Emanuele Bellini:
Ontology based recommender system using social network data. Future Gener. Comput. Syst. 115: 769-779 (2021) - [j16]Claudio Agostino Ardagna, Valerio Bellandi, Michele Bezzi, Paolo Ceravolo, Ernesto Damiani, Cédric Hébert:
Model-Based Big Data Analytics-as-a-Service: Take Big Data to the Next Level. IEEE Trans. Serv. Comput. 14(2): 516-529 (2021) - [c93]Valerio Bellandi, Paolo Ceravolo, Samira Maghool, Margherita Pindaro, Stefano Siccardi:
Correlation and pattern detection in event networks. IEEE BigData 2021: 4103-4112 - [c92]Valerio Bellandi, Ioannis Basdekis, Paolo Ceravolo, Matteo Cesari, Ernesto Damiani, Eleftheria Iliadou, Mircea Dan Marzan, Samira Maghool:
Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People. ICDH 2021: 166-171 - [c91]Carl K. Chang, Paolo Ceravolo, Rong N. Chang, Sumi Helal, Zhi Jin, Xuanzhe Liu, Ming Hua:
Software Services Engineering Manifesto - A Cross-Cutting Declaration. ICWS 2021: 703-709 - [c90]Renato Vertuam Neto, Gabriel M. Tavares, Paolo Ceravolo, Sylvio Barbon:
On the use of online clustering for anomaly detection in trace streams. SBSI 2021: 43:1-43:8 - [c89]Carlo Batini, Valerio Bellandi, Paolo Ceravolo, Federico Moiraghi, Matteo Palmonari, Stefano Siccardi:
Semantic Data Integration for Investigations: Lessons Learned and Open Challenges. SMDS 2021: 173-183 - [p5]Antonia Azzini, Sylvio Barbon Jr., Valerio Bellandi, Tiziana Catarci, Paolo Ceravolo, Philippe Cudré-Mauroux, Samira Maghool, Jaroslav Pokorný, Monica Scannapieco, Florence Sèdes, Gabriel Marques Tavares, Robert Wrembel:
Advances in Data Management in the Big Data Era. IFIP's Exciting First 60+ Years 2021: 99-126 - [i4]Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Using Meta-learning to Recommend Process Discovery Methods. CoRR abs/2103.12874 (2021) - [i3]Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Selecting Optimal Trace Clustering Pipelines with AutoML. CoRR abs/2109.00635 (2021) - 2020
- [j15]Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.:
Comparing Concept Drift Detection with Process Mining Software. Braz. J. Inf. Syst. 13(4): 101-125 (2020) - [c88]Ladjel Bellatreche, Fadila Bentayeb, Mária Bieliková, Omar Boussaid, Barbara Catania, Paolo Ceravolo, Elena Demidova, Mírian Halfeld Ferrari, María Teresa Gómez-López, Carmem S. Hara, Slavica Kordic, Ivan Lukovic, Andrea Mannocci, Paolo Manghi, Francesco Osborne, Christos Papatheodorou, Sonja Ristic, Dimitris Sacharidis, Oscar Romero, Angelo A. Salatino, Guilaine Talens, Maurice van Keulen, Thanasis Vergoulis, Maja Zumer:
Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium. ADBIS/TPDL/EDA Workshops 2020: 3-20 - [c87]Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Evaluating Trace Encoding Methods in Process Mining. DataMod@CIKM 2020: 174-189 - [c86]Davide Mora, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
The CDESF Toolkit: An Introduction. ICPM Doctoral Consortium / Tools 2020: 47-50 - [c85]Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Nicolas Jashchenko Omori, Gabriel Marques Tavares:
Anomaly Detection on Event Logs with a Scarcity of Labels. ICPM 2020: 161-168 - [c84]Valerio Bellandi, Paolo Ceravolo, Samira Maghool, Stefano Siccardi:
A Comparative Study of Clustering Techniques Applied on Covid-19 Scientific Literature. IoTSMS 2020: 1-8 - [c83]Valerio Bellandi, Paolo Ceravolo, Samira Maghool, Stefano Siccardi:
Graph Embeddings in Criminal Investigation: Extending the Scope of Enquiry Protocols. MEDES 2020: 64-71 - [c82]Valerio Bellandi, Paolo Ceravolo, Maryam Ehsanpour:
A Case Study in Smart Healthcare Platform Design. SERVICES 2020: 7-12 - [e13]Paolo Ceravolo, Maurice van Keulen, María Teresa Gómez-López:
Data-Driven Process Discovery and Analysis - 8th IFIP WG 2.6 International Symposium, SIMPDA 2018, Seville, Spain, December 13-14, 2018, and 9th International Symposium, SIMPDA 2019, Bled, Slovenia, September 8, 2019, Revised Selected Papers. Lecture Notes in Business Information Processing 379, Springer 2020, ISBN 978-3-030-46632-9 [contents]
2010 – 2019
- 2019
- [j14]Gabriel Marques Tavares, Victor Guilherme Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Jr.:
Leveraging Anomaly Detection in Business Process with Data Stream Mining. Braz. J. Inf. Syst. 12(1): 54-75 (2019) - [j13]Marcello Leida, Paolo Ceravolo, Ernesto Damiani, Rasool Asal, Maurizio Colombo:
Dynamic Access Control to Semantics-Aware Streamed Process Logs. J. Data Semant. 8(3): 203-218 (2019) - [c81]Emanuele Bellini, Paolo Ceravolo, Ernesto Damiani:
Blockchain-Based E-Vote-as-a-Service. CLOUD 2019: 484-486 - [c80]Gabriel Marques Tavares, Paolo Ceravolo, Victor G. Turrisi da Costa, Ernesto Damiani, Sylvio Barbon Junior:
Overlapping Analytic Stages in Online Process Mining. SCC 2019: 167-175 - [c79]Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Rino Finazzo:
A Methodology for Cross-Platform, Event-Driven Big Data Analytics-as-a-Service. IEEE BigData 2019: 3440-3448 - [c78]Rabia Maqsood, Paolo Ceravolo, Sebastián Ventura:
Discovering Students' Engagement Behaviors in Confidence-based Assessment. EDUCON 2019: 841-846 - [c77]Álvaro Valencia-Parra, Ángel Jesús Varela-Vaca, María Teresa Gómez-López, Paolo Ceravolo:
CHAMALEON: Framework to improve Data Wrangling with Complex Data. ICIS 2019 - [c76]Antonia Azzini, Paolo Ceravolo, Matteo Colella:
Performances of OLAP Operations in Graph and Relational Databases. KMO 2019: 282-293 - [c75]Valerio Bellandi, Paolo Ceravolo, Eugenio Tacchini:
Modeling a Multi-agent Tourism Recommender System. OTM Conferences 2019: 750-757 - [c74]Paolo Ceravolo, Francesco Ciclosi, Emanuele Bellini, Ernesto Damiani:
Assessing Strategies for Sampling Dynamic Social Networks. RIIFORUM 2019: 171-179 - [c73]Nicolas Jashchenko Omori, Gabriel Marques Tavares, Paolo Ceravolo, Sylvio Barbon Jr.:
Comparing Concept Drift Detection with Process Mining Tools. SBSI 2019: 31:1-31:8 - [c72]Emanuele Bellini, Paolo Ceravolo, Alessandro Bellini, Ernesto Damiani:
Designing Process-Centric Blockchain-Based Architectures: A Case Study in e-voting as a Service. SIMPDA 2019: 1-23 - [c71]Mohamad Arafeh, Paolo Ceravolo, Azzam Mourad, Ernesto Damiani:
Sampling Online Social Networks with Tailored Mining Strategies. SNAMS 2019: 217-222 - [c70]Paolo Ceravolo, Emanuele Bellini:
Towards Configurable Composite Data Quality Assessment. CBI (1) 2019: 249-257 - [p4]Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Eugenio Tacchini:
Designing a Recommender System for Touristic Activities in a Big Data as a Service Platform. Innovations in Big Data Mining and Embedded Knowledge 2019: 13-33 - [e12]Paolo Ceravolo, Maurice van Keulen, Kilian Stoffel:
Data-Driven Process Discovery and Analysis - 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers. Lecture Notes in Business Information Processing 340, Springer 2019, ISBN 978-3-030-11637-8 [contents] - 2018
- [j12]Paolo Ceravolo, Antonia Azzini, Marco Angelini, Tiziana Catarci, Philippe Cudré-Mauroux, Ernesto Damiani, Alexandra Mazak, Maurice van Keulen, Mustafa Jarrar, Giuseppe Santucci, Kai-Uwe Sattler, Monica Scannapieco, Manuel Wimmer, Robert Wrembel, Fadi A. Zaraket:
Big Data Semantics. J. Data Semant. 7(2): 65-85 (2018) - [c69]Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Beniamino Di Martino, Salvatore D'Angelo, Antonio Esposito:
A Fast and Incremental Development Life Cycle for Data Analytics as a Service. BigData Congress 2018: 174-181 - [c68]Domenico Redavid, Donato Malerba, Beniamino Di Martino, Antonio Esposito, Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani:
Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS). CISIS 2018: 1012-1021 - [c67]Rabia Maqsood, Paolo Ceravolo:
Modeling Behavioral Dynamics in Confidence-Based Assessment. ICALT 2018: 452-454 - [c66]Muhammad Muneeb Kiani, Paolo Ceravolo, Antonia Azzini, Ernesto Damiani:
Automated Monitoring of Collaborative Working Environments for Supporting Open Innovation. KMO 2018: 167-178 - [c65]Gabriel Marques Tavares, Victor G. Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Junior:
Anomaly Detection in Business Process based on Data Stream Mining. SBSI 2018: 16:1-16:8 - [c64]Rabia Maqsood, Paolo Ceravolo:
Corrective Feedback and Its Implications on Students' Confidence-Based Assessment. TEA 2018: 55-72 - [c63]Sylvio Barbon Junior, Gabriel Marques Tavares, Victor G. Turrisi da Costa, Paolo Ceravolo, Ernesto Damiani:
A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream. WWW (Companion Volume) 2018: 319-326 - [e11]Paolo Ceravolo, Christian Guetl, Stefanie Rinderle-Ma:
Data-Driven Process Discovery and Analysis - 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers. Lecture Notes in Business Information Processing 307, Springer 2018, ISBN 978-3-319-74160-4 [contents] - [e10]Paolo Ceravolo, María Teresa Gómez-López, Maurice van Keulen:
Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018), Seville, Spain, December 13-14, 2018. CEUR Workshop Proceedings 2270, CEUR-WS.org 2018 [contents] - 2017
- [j11]Emanuele Bellini, Paolo Ceravolo, Paolo Nesi:
Quantify Resilience Enhancement of UTS through Exploiting Connected Community and Internet of Everything Emerging Technologies. ACM Trans. Internet Techn. 18(1): 7:1-7:34 (2017) - [c62]Ernesto Damiani, Claudio A. Ardagna, Paolo Ceravolo, Nello Scarabottolo:
Toward Model-Based Big Data-as-a-Service: The TOREADOR Approach. ADBIS 2017: 3-9 - [c61]Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani, Michele Bezzi, Cédric Hébert:
A Model-Driven Methodology for Big Data Analytics-as-a-Service. BigData Congress 2017: 105-112 - [c60]Claudio A. Ardagna, Paolo Ceravolo, Guido Lena Cota, Muhammad Muneeb Kiani, Ernesto Damiani:
What Are My Users Looking for When Preparing a Big Data Campaign. BigData Congress 2017: 201-208 - [c59]Paolo Ceravolo, Ernesto Damiani, Mohammadsadegh Torabi, Sylvio Barbon Junior:
Toward a New Generation of Log Pre-processing Methods for Process Mining. BPM (Forum) 2017: 55-70 - [c58]Claudio A. Ardagna, Paolo Ceravolo, Ernesto Damiani, Marcello Leida:
Scouting Big Data Campaigns using TOREADOR Labs. EDBT/ICDT Workshops 2017 - [c57]Sylvio Barbon Junior, Gabriel M. Tavares, Paolo Ceravolo, Ernesto Damiani:
A Framework for Trace Clustering and Concept-drift Detection in Event Streams. SIMPDA 2017: 153-154 - [e9]Paolo Ceravolo, Stefanie Rinderle-Ma:
Data-Driven Process Discovery and Analysis - 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers. Lecture Notes in Business Information Processing 244, Springer 2017, ISBN 978-3-319-53434-3 [contents] - [e8]Paolo Ceravolo, Maurice van Keulen, Kilian Stoffel:
Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), Neuchâtel, Switzerland, December 6-8, 2017. CEUR Workshop Proceedings 2016, CEUR-WS.org 2017 [contents] - [i2]Emanuele Bellini, Paolo Ceravolo, Paolo Nesi:
Quantify resilience enhancement of UTS through exploiting connect community and internet of everything emerging technologies. CoRR abs/1708.03529 (2017) - 2016
- [c56]Claudio A. Ardagna, Paolo Ceravolo, Ernesto Damiani:
Big data analytics as-a-service: Issues and challenges. IEEE BigData 2016: 3638-3644 - [c55]Antonia Azzini, Paolo Ceravolo, Nello Scarabottolo, Ernesto Damiani:
On the predictive power of university curricula. EDUCON 2016: 929-932 - [c54]Paolo Ceravolo, Antonia Azzini, Ernesto Damiani, Mariangela Lazoi, Manuela Marra, Angelo Corallo:
Translating Process Mining Results into Intelligible Business Information. KMO 2016: 14 - [c53]Marcello Leida, Carlos Ruiz, Paolo Ceravolo:
Facing big data variety in a model driven approach. RTSI 2016: 1-6 - [e7]Paolo Ceravolo, Christian Guetl, Stefanie Rinderle-Ma:
Proceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2016), Graz, Austria, December 15-16, 2016. CEUR Workshop Proceedings 1757, CEUR-WS.org 2016 [contents] - 2015
- [j10]Ernesto Damiani, Paolo Ceravolo, Fulvio Frati, Valerio Bellandi, Ronald Maier, Isabella Seeber, Gabriela Waldhart:
Applying recommender systems in collaboration environments. Comput. Hum. Behav. 51: 1124-1133 (2015) - [c52]Paolo Ceravolo, Ernesto Damiani, Fulvio Frati, Jonatan Maggesi, Riccardo Mainardi, Francesco Zavatarelli:
Innovation Factory: An Innovative Collaboration and Management Scenario. AFRICOMM 2015: 99-105 - [c51]Antonia Azzini, Paolo Ceravolo, Ernesto Damiani, Francesco Zavatarelli:
Knowledge Driven Behavioural Analysis in Process Intelligence. ATAED@Petri Nets/ACSD 2015: 97-111 - [c50]Giancarlo Ballauco, Paolo Ceravolo, Ernesto Damiani, Fulvio Frati, Francesco Zavatarelli:
De-Materializing Local Public Administration Processes. PNSE @ Petri Nets 2015: 311-312 - [c49]Antonia Azzini, Paolo Ceravolo, Ernesto Damiani, Nello Scarabottolo, Francesco Zavatarelli, Claudia Vicari, Vincenzo Savarino:
Heterogeneous Business Process Management: A Metamodel-Based Approach. KMO 2015: 73-86 - [c48]Giancarlo Ballauco, Paolo Ceravolo, Ernesto Damiani, Fulvio Frati, Francesco Zavatarelli:
Security Aspects of De-materialized Local Public Administration Processes. OTM Conferences 2015: 639-643 - [e6]Paolo Ceravolo, Rafael Accorsi, Philippe Cudré-Mauroux:
Data-Driven Process Discovery and Analysis - Third IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers. Lecture Notes in Business Information Processing 203, Springer 2015, ISBN 978-3-662-46435-9 [contents] - [e5]Paolo Ceravolo, Barbara Russo, Rafael Accorsi:
Data-Driven Process Discovery and Analysis - 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers. Lecture Notes in Business Information Processing 237, Springer 2015, ISBN 978-3-319-27242-9 [contents] - [e4]Paolo Ceravolo, Stefanie Rinderle-Ma:
Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015), Vienna, Austria, December 9-11, 2015. CEUR Workshop Proceedings 1527, CEUR-WS.org 2015 [contents] - 2014
- [j9]Stefan Thalmann, Markus Manhart, Paolo Ceravolo, Antonia Azzini:
An Integrated Risk Management Framework: Measuring the Success of Organizational Knowledge Protection. Int. J. Knowl. Manag. 10(2): 28-42 (2014) - [c47]Isabella Seeber, Ronald Maier, Paolo Ceravolo, Fulvio Frati:
Tracing the Development of Ideas in Distributed, IT-Supported Teams during Synchronous Collaboration. ECIS 2014 - [c46]Antonia Azzini, Paolo Ceravolo, Ernesto Damiani, Francesco Zavatarelli, Claudia Vicari, Vincenzo Savarino:
Driving knowledge acquisition via metric life-cycle in process intelligence. I-KNOW 2014: 26:1-26:4 - [e3]