14th Workshop on
New Frontiers in Mining Complex Patterns
in conjunction with the
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
September 7, 2026 – Naples, Italy
About NFMCP 2026
The 14th edition of the Workshop New Frontiers in Mining Complex Patterns (NFMCP) will be hosted by the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) in Naples, Italy, from September 7 to 11, 2026. The workshop aims to bring together data mining and machine learning researchers and practitioners interested in analyzing complex data, such as multi-table data, semi-structured data, web data, time series and sequences, graphs, and trees.
The NFMCP workshop is focused on exploring and sharing new techniques for analyzing complex data sources, which has become an increasingly common challenge with the rise of automatic systems collecting vast amounts of data with complex structures. The workshop's primary goal is to promote collaboration among researchers and practitioners, share knowledge and ideas, and encourage the exploration of innovative solutions for analyzing complex data sources.
The NFMCP workshop provides a platform for researchers to present their latest research findings, discuss their work with others in the field, and foster interdisciplinary research collaborations. It is an exciting opportunity for data mining and machine learning enthusiasts to share their knowledge, explore new techniques, and collaborate with others in the field. The workshop's focus on complex and massive data sources makes it highly relevant to the machine-learning community, and its goals of promoting collaboration and innovation in the field make it a valuable event for all those interested in data mining and machine learning.
Call for papers
We welcome submissions focusing on recent advances and the latest developments in analysing complex and massive data sources such as blogs, event or log data, medical data, spatio-temporal data, social networks, mobility data, sensor data and streams. In addition, we encourage submissions from statistics, machine learning and big data analytics, which present techniques that take advantage of the informative richness of complex, massive data for efficiently and effectively identifying new patterns.
Workshop topics
- Mining Big Data
- Mining Biological Data
- Social Media Analytics
- Ontology and Metadata
- Mining Multimedia Data
- Sustainable Data Mining
- LLMs for Pattern Mining
- Mining Multi-relational Data
- Mining Networks and Graphs
- Mining Spatio-Temporal Data
- Data Mining for Cybersecurity
- Privacy-preserving Data Mining
- Mining Dynamic and Evolving Data
- Semantic Web and Knowledge Databases
- Mining Environmental and Scientific Data
- Mining Heterogeneous and Ubiquitous Data
- Mining Semi-structured and Unstructured Data
- Mining Stream, Time series and Sequence Data
- Foundation on Pattern Mining, Pattern Usage and Pattern Understanding
Paper submissions
NFMCP welcomes diverse contributions, ranging from research papers showcasing well-established findings or ongoing work to innovative papers introducing novel ideas or exploratory research. Additionally, the conference embraces papers that share industry experiences and case studies. However, it is essential to highlight that papers based on work that has been recently published elsewhere will not be considered for inclusion in the conference proceedings.
Submissions are accepted in two formats:
- Extended abstract having at most 8 pages including references. Extended abstracts are intended to stimulate discussion and collaboration by either reviewing previously published research or outlining new emerging ideas.
- Regular research papers having at most 12 pages including references. To be published in the proceedings, research papers must be original, not published previously, and not submitted concurrently elsewhere.
The accepted contributions will be included in a joint Post-Workshop proceeding published by Springer Lecture Notes in Computer Science, in 1-2 volumes, organised by focused scope and possibly indexed by WOS. Papers authors will have the faculty to opt-in or opt-out. We suggest workshop papers are prepared and submitted in the format: LNCS format.
Dates
Submission deadline: June 14, 2026 June, 24 2026
Notification of acceptance: July 16, 2026
Workshop: September 7, 2026.
Organizers
Program Committee
- Claudio A. Ardagna | University of Milan, Italy
- Nicola Bena | University of Milan, Italy
- Francesco Benedetti | University of Bari, Italy
- Petr Berka | University of Economics, Prague, Czech Republic
- Veronica Buttaro | University of Bari, Italy
- Michelangelo Ceci | University of Bari, Italy
- Graziella De Martino | Nouv Limited, Malta
- Davide Di Pierro | INRAE, France
- Daniela Gallo | University of Salento, Italy
- Fabrizio Montecchiani | University of Perugia, Italy
- Simone Mungari | ICAR-CNR, Italy
- Simona Nisticò | University of Calabria, Italy
- Ruggero G. Pensa | University of Turin, Italy
- Gianvito Pio | University of Bari, Italy
- Francesco Pisani | ICAR-CNR, Italy
- Francesco Scala | ICAR-CNR, Italy
- Herna Viktor | University of Ottawa, Canada
- Alicja Wieczorkowska | Polish-Japanese Academy of Information Technology, Poland
Program
Opening [9:00 - 9:10]
Antonio Pellicani (University of Bari, Italy).
Session 1 (Chair: Antonio Pellicani) [09:10 - 10:30]
The paper presentations will be 15 minutes long, followed by a 3-minute discussion.- Eric Paquet (National Research Council Canada),
Herna Viktor (University of Ottawa),
Wojtek Michalowski (University of Ottawa).
Mining Geometric Patterns in Protein Structures Using Graph-Based Lévy Diffusion Models - Matej Mihelčić (University of Zagreb).
Local search can improve fixed-size redescription set construction - Chinmay Joshi (German Research Center for Artificial Intelligence),
David Antony Selby (German Research Center for Artificial Intelligence),
Ayush Patnaik (XKDR Forum),
Sebastian Vollmer (German Research Center for Artificial Intelligence),
Gerrit Großmann (German Research Center for Artificial Intelligence).
Dolphin: Interpretable Discovery of Exceptional Subgroups in Longitudinal Data - Abdallah Alabdallah (Halmstad University).
K-Survival Means
Coffee break [10:30 - 11:00]
Session 2 (Chair: TBD) [11:00 - 13:00]
The paper presentations will be 15 minutes long, followed by a 3-minute discussion.- Ebrahim Behrouzian Nejad (University of Porto),
Inês Dutra (University of Porto).
When Do Unsupervised Regimes Help? A Downstream Utility Study for Sensor Time Series - Joanna Piasek-Skupna (Poznan University of Technology).
When Samples Look Normal but Transitions Do Not: Relational Anomaly Detection in Dynamical Logs - Thiago Andrade (University of Porto).
A Variable-Order Probabilistic Mobility Predictor for Streaming GPS Trajectories using Elastic Faded Space-Saving Markov Modeling - Giuseppina Andresini (University of Bari Aldo Moro),
Vincenzo Pasquadibisceglie (University of Bari Aldo Moro),
Donato Cancellara (University of Bari Aldo Moro),
Annalisa Appice (University of Bari Aldo Moro),
Donato Malerba (University of Bari Aldo Moro).
Unlocking Outcome-Oriented Predictive Process Monitoring in Hadoop Distributed File Systems - David Lajevec (Jožef Stefan Institute),
Andrej Vilhar (Operato),
Aleksandra Rashkovska (Jožef Stefan Institute),
Dragi Kocev (Jožef Stefan Institute).
Hyperlocal Near-Surface Wind Downscaling as a Building Block for Dynamic Line Rating - Vita Komel (Jožef Stefan Institute),
Gregor Kosec (Jožef Stefan Institute),
Aleksandra Rashkovska (Jožef Stefan Institute).
Short-Term Weather Forecasting for Resource-Constrained Edge Devices
Lunch break [13:00 - 14:00]
Keynote Speaker [14:00 - 15:00]
Tijl De Bie (University of Ghent, Belgium).
Session 3 (Chair: TBD) [15:00 - 15:55]
The paper presentations will be 15 minutes long, followed by a 3-minute discussion.- Francesco Scala (CNR-ICAR),
Luigi Pontieri (CNR-ICAR).
Beyond Dashboards: PMAgent for RAG-Driven Natural Language Process Mining - Giulio Zeloni (Protom Group Spa),
Enrico Lo Conte (Protom Group Spa),
Salvatore Rionero (Protom Group Spa),
Giuseppe Santoro (Protom Group Spa),
Alessandro Rastelli (Protom Group Spa),
Fabio Sorrentino (Protom Group Spa).
AGO AI Quality Gate: Evidence-First Release Decisions for Retrieval-Augmented Generation - Vita Santa Barletta (University of Bari Aldo Moro),
Anna Cannito (Exprivia Spa),
Alessia Catalano (University of Salento),
Gaetano D'Aniello (Exprivia Spa),
Cosima De Carolis (Openwork Spa),
Tiziana Giove (Exprivia Spa),
Alessia Laforgia (Exprivia Spa),
Stefano Lisi (Openwork Spa),
Antonio Piccinno (University of Bari Aldo Moro),
Corrado Tatulli (Exprivia Spa).
SMART - System for Matching And Ranking Talents
Closing [15:55 - 16:00]
Venue
Please read about the venue in the ECML-PKDD venue page.