logo

12 ноября - 15 ноября 2025 г.

Ранг: A* (CORE2023)Offline

IEEE International Conference on Data Mining

Обновлено: 8 days ago
0.0 (0 Рейтинги)

Пока нет подписчиков.

Обзор

The IEEE International Conference on Data Mining (ICDM) is a premier research conference providing an international forum for sharing original research results and exchanging innovative development experiences in data mining. ICDM 2025 will be held in Washington DC, USA, from November 12-15, 2025. The conference covers all aspects of data mining, including algorithms, software, systems, and applications, and draws researchers, application developers, and practitioners from various data mining-related areas.

Требования к статьям

IEEE ICDM 2025: Call for Papers

The 25th IEEE International Conference on Data Mining (ICDM) will be held in Washington DC, USA, November 12-15, 2025.

ICDM is a premier research conference providing an international forum for sharing original research results and exchanging innovative development experiences in data mining. The conference covers all aspects of data mining, including algorithms, software, systems, and applications.

Topics of Interest

Topics of interest include, but are not limited to:

  • Foundations, algorithms, models, and theory of data mining, including big data mining.
  • Machine learning, deep learning, and statistical methods for big data.
  • Mining heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data
  • Data mining systems and platforms for analyzing big data, including methods for parallel and distributed data mining, federated learning, and their efficiency, scalability, security, and privacy
  • Data mining for modeling, visualization, personalization, and recommendation
  • Data mining for cyber-physical systems and complex, time-evolving networks
  • Data mining with large language models
  • Novel applications of data mining in data science, including big data analysis in social sciences, physical sciences, engineering, life sciences, climate science, web, marketing, finance, precision medicine, health informatics, and other domains

We particularly encourage submissions in emerging topics of high importance, such as ethical data analytics, automated data analytics, data-driven reasoning, interpretable modeling, modeling with evolving environments, multi-modal data mining, and heterogeneous data integration and mining.

Important Dates

EventDeadline
Full paper submissionsJune 6, 2025
Notifications to authorsAugust 25, 2025
Camera readySeptember 25, 2025
Workshop proposals deadlineMarch 14, 2025
Workshop proposals notificationApril 11, 2025
Workshop paper submission deadlineSeptember 1, 2025
Tutorial proposal dueSeptember 5, 2025
Tutorial notificationSeptember 26, 2025
Demo paper submissionSeptember 5, 2025
Demo notificationSeptember 26, 2025
REU Paper submissionSeptember 1, 2025
REU Decision notificationOctober 1, 2025
REU Camera-readyOctober 15, 2025
UGH Submission DeadlineSeptember 1, 2025
UGH Notification of AcceptanceOctober 1, 2025
UGH Camera-Ready SubmissionOctober 15, 2025

All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.

Additional Information

Важные даты

Даты конференции

Conference Date

12 ноября 2025 г.15 ноября 2025 г.

Подача

(Workshops) Workshop proposals deadline

14 марта 2025 г.

(Main conference) Full paper submissions

6 июня 2025 г.

(REU Symposium) Paper submission due date

1 сентября 2025 г.

Уведомление

(Workshops) Workshop proposals notification

11 апреля 2025 г.

(Main conference) Notifications to authors

25 августа 2025 г.

(Demonstrations) Notification to authors

26 сентября 2025 г.

Финальная версия

(Main conference) Camera ready

25 сентября 2025 г.

(Workshops) Camera ready

25 сентября 2025 г.

(REU Symposium) Camera-ready due date

15 октября 2025 г.

Другие даты

Room Block Cut-Off Date

18 октября 2025 г.

(REU Symposium) Symposium

12 ноября 2025 г.15 ноября 2025 г.

Ранг источника

Источник: CORE2023

Ранг: A*

Область исследований: Data management and data science, Machine learning

Карта

Loading feedback section...