14th Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2026) https://nfmcpworkshop.github.io
* Submission deadline: June 14, 2026 * Notification of acceptance: July 16, 2026 * Workshop: September 7-11, 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.
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### 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.