13^th 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 15, 2025 – Porto, Portugal

Organized by:

With the support of:

About NFMCP 2025

The 13th 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 Porto, Portugal, from September 15 to 19, 2025. 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.

All submissions should be made in PDF via Microsoft CMT, selecting the "New Frontiers in Mining Complex Patterns" track.

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, 2025
Notification of acceptance: July 14, 2025
Camera-ready papers: July 28, 2025
Workshop: To Be Announced (TBA), tentative dates: September 15 or 19, 2025.