ICDM: International Conference on Data Mining

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2024 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ICDM 2023 International Conference on Data Mining
Dec 1, 2023 - Dec 4, 2023 Shanghai, China (hybrid) Jul 1, 2023
ICDM 2022 22nd IEEE International Conference on Data Mining
Nov 30, 2022 - Dec 3, 2022 Orlando, FL, USA Jun 10, 2022
ICDM 2021 21st IEEE International Conference on Data Mining
Dec 7, 2021 - Dec 10, 2021 Auckland, New Zealand Jun 11, 2021
ICDM 2020 20th IEEE International Conference on Data Mining
Nov 17, 2020 - Nov 20, 2020 Sorrento, Italy Jun 11, 2020
ICDM 2018 IEEE International Conference on Data Mining
Nov 17, 2018 - Nov 20, 2018 Singapore Jun 5, 2018
ICDM 2017 IEEE International Conference on Data Mining 2017
Nov 18, 2017 - Nov 21, 2017 NEW ORLEANS, USA Jun 5, 2017
ICDM 2016 The IEEE International Conference on Data Mining
Dec 12, 2016 - Dec 15, 2016 Barcelona, Spain Jun 17, 2016
ICDM 2015 International Conference on Data Mining
Nov 14, 2015 - Nov 17, 2015 Atlantic City, NJ, USA Jun 3, 2015
ICDM 2014 IEEE International Conference on Data Mining
Dec 14, 2014 - Dec 17, 2014 Shenzhen, China Jun 24, 2014
ICDM 2013 IEEE International Conference on Data Mining
Dec 8, 2013 - Dec 11, 2013 Dallas, Texas, USA Jun 21, 2013
ICDM 2012 IEEE International Conference on Data Mining
Dec 10, 2012 - Dec 13, 2012 Brussels / Belgium Jun 18, 2012
ICDM 2010 The 10th IEEE International Conference on Data Mining
Dec 13, 2010 - Dec 17, 2010 Sydney, Australia Jul 2, 2010
ICDM 2009 The 2009 IEEE International Conference on Data Mining
Dec 6, 2009 - Dec 9, 2009 Miami, FLorida ,USA Jun 26, 2009
ICDM 2008 The 8th IEEE International Conference on Data Mining
Dec 15, 2008 - Dec 19, 2008 Pisa, Italy Jul 7, 2008
 
 

Present CFP : 2023

The IEEE International Conference on Data Mining (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, and applications. ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as big data, deep learning, pattern recognition, statistical and machine learning,databases, data warehousing, data visualization, knowledge-based systems, and high-performance computing. By promoting novel, high-quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to advance the state-of-the-art in data mining.
Topics of interest

Topics of interest include, but are not limited to:

Foundations, algorithms, models and theory of data mining, including big data mining.
Deep learning and statistical methods for data mining.
Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.
Data mining systems and platforms, and their efficiency, scalability, security and privacy.
Data mining for modelling, visualization, personalization, and recommendation.
Data mining for cyber-physical systems and complex, time-evolving networks.
Applications of data mining in social sciences, physical sciences, engineering, life sciences, 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 environment, cyber-physical systems, multi-modality data mining, and heterogeneous data integration and mining.
Format of the conference

[(TBD) Due to the ongoing COVID-19 circumstances around the world, ICDM 2023 will be a hybird conference. We will consider to change it to be fully on-site or fully virtual considering the pandemic situation]
 

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