2023 International Conference on Advanced Data Mining and Applications (ADMA 2023)

2023 International Conference on Advanced Data Mining and Applications (ADMA 2023)

This conference will be held in Shenyang, China from August 21st to 23rd, 2023. It is a high-level annual event on data mining research and application. It aims to bring together data mining experts from all over the world to provide an international forum for exchanging original research results, covering applications, algorithms, software and systems of data mining, and different application areas with data mining potential, such as social network mining, intelligence Transportation, fintech, smart manufacturing, smartphones, biomedical science, green computing, etc. ADMA 2023 will promote close interaction and collaboration between practitioners and researchers. Submitted papers will undergo a comprehensive peer-review process with double-blind review. The conference is ranked B in the CORE ranking and C in the CCF (China Computer Federation) ranking, and the accepted papers will be included in EI and DBLP. Some excellent papers will be recommended to some SCI and EI journals after registration. If you are interested in data mining and want to know the latest research progress and application cases, you are welcome to contribute and attend this conference.

Post request

  • Papers should be in English and contain unpublished contributions to data mining and related fields.
  • Papers must not exceed 15 pages in LNAI (Lecture Notes on Artificial Intelligence) format.
  • Papers must be prepared in LNAI format. See Springer's Author's Guide for templates and details on LNCS styles.

Important Dates (all deadlines are at 11:59 p.m. PT)

  • Closing date for paper abstracts: April 8, 2023 (it has already closed, you can skip this step and submit the full text directly)
  • Paper submission deadline: April 30, 2023
  • Notification date: May 30, 2023
  • Final submission deadline: June 15, 2023
  • Conference Dates: August 21-23, 2023

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Origin blog.csdn.net/p609354432/article/details/129992483