The analysis of complex data represents the new frontier in data mining and knowledge discovery. There are several emerging technologies and applications where complex patterns can be extracted: examples are blogs, event or log data, medical data, spatiotemporal data, social networks, mobility data, sensor data, and streams. The abundance, variety, and velocity of data pose new challenges which can’t be easily resolved with traditional data mining techniques. This asks for new contributions which allow for efficiently identifying patterns and enable effective decision making. The Tenth International Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) was held in Grenoble in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022) on September 19, 2022. It was aimed at bringing together researchers and practitioners of data mining and knowledge discovery interested in the advances and latest developments in mining complex data. The workshop is establishing itself as a premier event with this goal. The workshop received 15 submitted papers, of which seven papers were accepted for presentation at the workshop. These papers went through a rigorous review process in which each paper was reviewed by at least three reviewers in a single-blind manner. The individual contributions illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. We would like to thank all the authors who submitted papers for publication and all the workshop participants and speakers. We are also grateful to the members of the Program Committee for their excellent work in reviewing submitted and revised contributions with expertise and patience. A special thanks is due to both the ECMLPKDD workshop chairs and the ECML-PKDD organizers who made the event possible. We would like to acknowledge the support of the Apulia Region through the REFIN project “Metodi per l’ottimizzazione delle reti di distribuzione di energia e per la pianificazione di interventi manutentivi ed evolutivi” (CUP H94I20000410008, Grant no. 7EDD092A).

Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)

Paolo Mignone
;
2023-01-01

Abstract

The analysis of complex data represents the new frontier in data mining and knowledge discovery. There are several emerging technologies and applications where complex patterns can be extracted: examples are blogs, event or log data, medical data, spatiotemporal data, social networks, mobility data, sensor data, and streams. The abundance, variety, and velocity of data pose new challenges which can’t be easily resolved with traditional data mining techniques. This asks for new contributions which allow for efficiently identifying patterns and enable effective decision making. The Tenth International Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) was held in Grenoble in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022) on September 19, 2022. It was aimed at bringing together researchers and practitioners of data mining and knowledge discovery interested in the advances and latest developments in mining complex data. The workshop is establishing itself as a premier event with this goal. The workshop received 15 submitted papers, of which seven papers were accepted for presentation at the workshop. These papers went through a rigorous review process in which each paper was reviewed by at least three reviewers in a single-blind manner. The individual contributions illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. We would like to thank all the authors who submitted papers for publication and all the workshop participants and speakers. We are also grateful to the members of the Program Committee for their excellent work in reviewing submitted and revised contributions with expertise and patience. A special thanks is due to both the ECMLPKDD workshop chairs and the ECML-PKDD organizers who made the event possible. We would like to acknowledge the support of the Apulia Region through the REFIN project “Metodi per l’ottimizzazione delle reti di distribuzione di energia e per la pianificazione di interventi manutentivi ed evolutivi” (CUP H94I20000410008, Grant no. 7EDD092A).
2023
978-3-031-23617-4
978-3-031-23618-1
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/418183
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact