Full name: 2024 The 8th International Conference on Computing and Data Analysis Abbreviation: ICCDA 2024 November 15-17, 2024 - Wenzhou, China More details, please visit: http://iccda.org/ The International Conference on Computing and Data Analysis (ICCDA), is an annual conference hold each year. It is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of computing and data analysis. The previous ICCDA was held in Florida Polytechnic University, Lakeland, USA (2017), Northern Illinois University (NIU) DeKalb, USA (2018), University of Hawaii Maui College, Kahului, USA (2019), Silicon Valley, USA (2020), Sanya, China (Virtual, 2021), Shanghai, China (Virtual, 2022), and Guiyang, China (2023). ICCDA 2024 conference will be located in Wenzhou, China during November 15-17, 2024. *Proceedings: Full Paper submitted and accepted after successful registration will be published by ACM Conference Proceedings (ISBN: 979-8-4007-1041-4 ), which will be indexed by Scopus & Ei Compendex. *Previous ICCDA: Past ICCDA papers were all published in the prestigious ACM proceedings: ICCDA 2023, ISBN: 979-8-4007-0057-6, EI, Scopus indexing ICCDA 2022, ISBN: 978-1-4503-9547-2, EI, Scopus indexed ICCDA 2021, ISBN: 978-1-4503-8911-2, EI, Scopus indexed ICCDA 2020, ISBN: 978-1-4503-7644-0, EI, Scopus indexed ICCDA 2019, ISBN: 978-1-4503-6634-2, EI, Scopus indexed ICCDA 2018, ISBN: 978-1-4503-6359-4, EI, Scopus indexed ICCDA 2017, ISBN: 978-1-4503-5241-3, EI, Scopus indexed *Submission Link: https://www.zmeeting.org/submission/iccda2024 *Topics: Mathematical, probabilistic and statistical models and theories Machine learning theories, models and systems Knowledge discovery theories, models and systems Manifold and metric learning Deep learning Scalable analysis and learning Non-iidness learning Heterogeneous data/information integration Data pre-processing, sampling and reduction Dimensionality reduction Feature selection, transformation and construction Large scale optimization High performance computing for data analytics Architecture, management and process for data science More topics: http://iccda.org/cfp.html *Venue: Wenzhou University of Technology Address: No. 337, Jinhai 3rd Road, Wenzhou Economic and Technological Development Zone, Zhejiang Province, China *Contact: Ms. Maggie X. Xu Tel.: +86 180 8007 5398 E-mail: iccda_info@163.com WeChat: iconf-cs-1