International Conference on Big Data Technologies on September 20-22, 2024 in Hangzhou, China

International Conference on Big Data Technologies on September 20-22, 2024 in Hangzhou, China

Publication:

The accepted papers will be included in ICBDT 2024 Conference Proceedings, which will be published in the International Conference Proceedings Series by ACM, which will be archived in ACM Digital Library, and indexed by EI Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index

The ISBN number assigned to ICBDT 2024 is 979-8-4007-1751-2

 - ICBDT2023 | 979-8-4007-0766-7 | ACM Digital Library | EI & Scopus

 - ICBDT2022 | 978-1-4503-9687-5 | ACM Digital Library | EI & Scopus

 - ICBDT2021 | 978-1-4503-8509-1 | ACM Digital Library | EI & Scopus

 - ICBDT2020 | 978-1-4503-8785-9 | ACM Digital Library | EI & Scopus

 - ICBDT2019 | 978-1-4503-7192-6 | ACM Digital Library | EI & Scopus

 - ICBDT2018 | 978-1-4503-6427-0 | ACM Digital Library | EI & Scopus

 

Conference Schedule:

September 20, 2024---Sign-in for ICBDT 2024 (Conference Material Collection)

September 21, 2024(Morning)---- Opening Remarks & Keynote Speeches

September 21, 2024(Afternoon)---- Author Presentation

September 22, 2024(Morning)---- Keynote Speeches

September 22, 2024(Afternoon)---- Author Presentation

 

Contact:

Ms. Robin Luo

Tel: +86-18227609313 | +86-28-86527868

Email: [email protected]

Intelligent Sensor Systems

Data Visualization and Visual Analytics

Big Data Algorithms, Applications and Services

Big Data Mining and Analytics

Big Data Processing and Querying

Algorithmic, experimental, prototyping and implementation

Natural Language Processing in Big Texts

Biomedical imaging pre-processing and Analysis

Hardware and Software solutions for Big Data Searching, Storing and Management

Structured and Unstructured Data/Text/Web Mining

Deep Learning architecture, representations, unsupervised and supervised algorithms

Scalable computational intelligence tools

Novel Computational Intelligence approaches for data analysis

Evolutionary and Bio-inspired approaches for Big Data analysis

New domains and novel applications related to Big Data technologies

Name: YOUNG

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