12th 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 13, 2024 – Vilnius, Lithuania
With the support of:
About NFMCP 2024
The 12th 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 Vilnius, Lithuania, from September 9 to 13, 2024. 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
- 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
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.
All submissions should be made in PDF via Microsoft CMT.
The accepted contributions will be included in a joint Post-Workshop proceeding published by Springer Communications in Computer and Information 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 15, 2024 June, 25 2024
Notification of acceptance: July 01, 2024 July 10, 2024
Camera-ready papers: July 15, 2024 July 25, 2024
Workshop: September 13, 2024
Organizers
Program Committee
- Claudio A. Ardagna | University of Milan, Italy
- Nicola Bena | University of Milan, Italy
- Jorge Bernardino | Polytechnic University of Coimbra, Portugal
- Michelangelo Ceci | University of Bari, Italy
- Erica Coppolillo | University of Calabria, Italy
- Bettina Fazzinga | University of Calabria, Italy
- Simona Fioretto | University of Naples, Italy
- Daniela Gallo | University of Salento, Italy
- Dragi Kocev | Jožef Stefan Institute, Slovenia
- Boshko Koloski | Jožef Stefan Institute, Slovenia
- Fabrizio Montecchiani | University of Perugia, Italy
- Simone Mungari | ICAR-CNR, Italy
- Enea V. Napolitano | University of Naples, Italy
- Ruggero G. Pensa | University of Turin, Italy
- Gianvito Pio | University of Bari, Italy
- Jerzy Stefanowski | Poznan University of Technology, Poland
- 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).
Keynote [9:10 - 10:10]
Dragi Kocev (Jožef Stefan Institute, Slovenia).
Developing trustworthy resources from scientific benchmarking of multi-label classification
Presentations [10:10 - 10:50]
- [10:10 - 10:30]
Jerzy Stefanowski (Poznan University of Technology, Poland), Bartosz Przybyl (Poznan University of Technology, Poland).
Improving online bagging for complex imbalanced data streams - [10:30 - 10:50]
Massimiliano Altieri (University of Bari, Italy), Michelangelo Ceci (University of Bari, Italy), Roberto Corizzo (American University, USA).
Node-Sensitive GCN-LSTM for Geo-Distributed Forecasting
Coffee break [10:50 - 11:20]
Presentations [11:20 - 12:40]
- [11:20 - 11:40]
Til Schniese (Hasso-Plattner Institute, Germany), Christian Adriano (Hasso-Plattner Institute, Germany), Holger Giese (Hasso-Plattner Institute, Germany).
Leveraging Cross-Snapshot Attention for Identifying Graph Propagation Patterns in Dynamic Real-World Networks - [11:40 - 12:00]
Nicola Bassi (Digitalog, Italy), Enea Vincenzo Napolitano (University of Naples Federico II, Italy).
Drive BELT: A Strategic Decision-Making Tool for Optimizing Naval and Rail Freight Logistics - [12:00 - 12:20]
Robbe D'hondt (KU Leuven, Belgium), Felipe Kenji Nakano (KU Leuven, Belgium), Celine Vens (KU Leuven, Belgium).
Autoassociative Random Forest Clustering - [12:20 - 12:40]
Simon Popelier (Homiwoo, France), Matthieu Sarazin (Homiwoo, France), Maximilien Bohm (Ecole Polytechnique, France), Mathieu Gierski (Ecole Polytechnique, France), Hanna Mergui (Ecole Polytechnique, France), Matthieu Ospici (Homiwoo, France), Adrien Bernhardt (Homiwoo, France).
Retrieval-Enhanced Real Estate Appraisal
Closing [12:40 - 12:50]
Elio Masciari (University of Naples Federico II, Italy).
Venue
Please read about the venue in the ECML-PKDD venue page.