2024 7th International Conference on Big Data Technologies(ICBDT 2024)

ICBDT 2024 - 2024 7th International Conference on Big Data Technologies has the goal to be an annual conference for researchers, academicians and industry persons in the field of big data technologies. It will be held in Hangzhou, China during September 20-22, 2024.

★★ 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

★Local Support★

ICBDT 2024 is Sponsored by Zhejiang Gongshang University, China； organized by School of Computer and Information Engineering (SCIE) of Zhejiang Gongshang University; co-sponsored by Qingdao Computer Society, and Ocean University of China; technically supported by Qingdao University, University of Jinan, Shandong University, Shandong University of Science and Technology, China, Shandong University of Technology, and other universities.

★Call for paper★

Topic about Deep Big Data Technologies

Data Visualization and Visual Analytics, Big Data Algorithms, Applications and Services, Big Data Processing and Querying, Algorithmic, experimental, prototyping and implementation, Natural Language Processing in Big Texts, Biomedical imaging pre-processing and Analysis, Structured and Unstructured Data/Text/Web Mining, Scalable computational intelligence tools, Evolutionary and Bio-inspired approaches for Big Data analysis, New domains and novel applications related to Big Data technologies. etc.

For details about topics, please visit at http://icbdt.org/cfp.html

★Submission★

1. Full paper (publication and presentation)

For full paper, please upload it to the Electronic Submission System: https://www.zmeeting.org/submission/icbdt2024

2. Abstract (presentation)

For abstract, please send it to [email protected]

More detail about submission, please visit at http://icbdt.org/author.html#sub

★★Contact:

Ms. Robin Luo

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

Email: [email protected]

Website: www.icbdt.org