New Frontiers in Mining Complex Patterns The 10th edition of the Workshop New Frontiers in Mining Complex Patterns (NFMCP) in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022) Grenoble, France.
Main Conference ECML-PKDD 2022 Grenoble, France 19-23.09.2022 Previous Editions 2020 2019 2018 2017 2016 2015 2014 2013 2012	chrome_reader_mode Call for Papers visibility_off location_on Locations & Dates date_range file_upload Submission Instructions info_outline event_available Technical Program code people_outline Program Committee chrome_reader_mode person_outline Organizing Committee people_outline

Call for Papers

• Modern automatic systems are able to collect huge volumes of data, often with a complex structure (e.g. multi-table data, semi-structured data, web data, time series and sequences, graphs and trees).
• The massive and complex data pose new challenges for current research in Knowledge Discovery and Data Mining. They require new methods for storing, managing and analyzing them by taking into account various complexity aspects: Complex structures (e.g. multi-relational, time series and sequences, networks, and trees) as input/output of the data mining process; Massive amounts of high dimensional data collections flooding as high-speed streams and requiring (near) real time processing and model adaptation to concept drifts; New application scenarios involving security issues, interaction with other entities and real-time response to events triggered by sensors.
• The purpose of the workshop is to bring together researchers and practitioners of data mining and machine learning interested in analysis of complex data.
• We welcome submissions focusing on recent advances and latest developments in the analysis of 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. Submissions discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery are also welcome. We encourage submissions from the areas of 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.
• Finally, submissions describing preliminary, promising studies and recently accepted papers are also welcome.

Topics of Interest

• Foundations on pattern mining, pattern usage, and pattern understanding
• Mining stream, time-series and sequence data
• Mining networks and graphs
• Mining biological data
• Mining dynamic and evolving data
• Mining environmental and scientific data
• Mining heterogeneous and ubiquitous data
• Mining multimedia data
• Mining multi-relational data
• Mining semi-structured and unstructured data
• Mining spatio-temporal data
• Mining big data
• Social media analytics
• Ontology and metadata
• Privacy preserving data mining
• Semantic web and Knowledge databases
• Data Mining for Cybersecurity

Locations & Dates

Locations

• Grenoble, France

Dates

• Workshop day: Friday, 23rd September 2022
• Paper submission deadline: Monday, 20th June 2022 Thursday, 7th July 2022
• Acceptance notification: Wednesday, 13th July 2022 Thursday, 21th July 2022

Submission Instructions

• Authors are invited to submit electronically original research and abstract papers in Portable Document Format (PDF) format. Research papers should be at most 12 pages long whereas extended abstracts should be at most 8 pages long. Papers must be written in English. Paper should be submitted in PDF form via NFMCP 2022 Online Submission System. Acceptance will be based on relevance, technical soundness, originality, and clarity of presentation. Papers must be formatted using the Lecture Notes in Computer Science (LNCS) style available at: LNCS or LNCS OVERLEAF

• All submissions have to be submitted electronically via EasyChair (https://easychair.org/conferences/?conf=nfmcp2022)

• ECML/PKDD 2022 plans an hybrid organization also for workshops and tutorials. Therefore a person can attend an online event as long as she/he registers for the conference by using the videoconference registration fee: https://2022.ecmlpkdd.org/index.php/registration/

• Please note the videoconference registration fee allows also to follow the main conference. However, for a in-person event, interactions and discussions are much easier face-to-face. Therefore, it is important that speakers attend in-person the workshop to get fruitful events.

Technical Program

Program Committee

• Giuseppina Andresini, University of Bari Aldo Moro, Italy

• Annalisa Appice, University of Bari Aldo Moro, Italy

• Michelangelo Ceci, University of Bari Aldo Moro, Italy

• Roberto Corizzo, American University, Washington, D.C.

• Claudia Diamantini, Marche Polytechnic University, Italy

• Hadi Fanaee-T, Halmstad University, Sweden

• Bettina Fazzinga, ICAR-CNR, Rende, Italy

• Stefano Ferilli, University of Bari Aldo Moro, Italy

• Dragi Kocev, Jožef Stefan Institute, Slovenia

• Angelica Liguori, University of Calabria, Italy

• Vincenzo Pasquadibisceglie, University of Bari Aldo Moro, Italy

• Ruggero G. Pensa, University of Torino, Italy

• Gianvito Pio, University of Bari Aldo Moro, Italy

• Francesco S. Pisani, ICAR-CNR, Rende, Italy

• Gennaro Vessio, University of Bari Aldo Moro, Italy

Organizing Committee

• Elio Masciari - University Federico II of Naples, Italy
• Paolo Mignone - Università degli Studi di Bari Aldo Moro, Italy
• Zbigniew W. Ras - University of North Carolina, Charlotte, US & Polish-Japanese Academy of Information Technology, Warsaw, Poland
• Ettore Ritacco - Consiglio Nazionale delle Ricerche, Italy
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