12th Workshop on
New Frontiers in Mining Complex Patterns

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 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.


Submission deadline: June 15, 2024
Notification of acceptance: July 01, 2024
Camera-ready papers: July 15, 2024
Workshop: September 9-13, 2024 (TBA)


Graziella De Martino
Graziella De Martino | Università degli Studi di Bari "Aldo Moro"
Angelica Liguori
Angelica Liguori | ICAR-CNR
Elio Masciari
Elio Masciari | Università degli Studi di Napoli "Federico II"
Paolo Mignone
Paolo Mignone | Università degli Studi di Bari "Aldo Moro"
Antonio Pellicani
Antonio Pellicani | Università degli Studi di Bari "Aldo Moro"
Ettore Ritacco
Ettore Ritacco | Università degli Studi di Udine

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


Please read about the venue in the ECML-PKDD venue page.