7th International Conference on Computing and Data Analysis (ICCDA 2023)

*Proceedings Full Paper submitted and accepted after successful registration will be published by ACM Conference Proceedings (ISBN: 979-8-4007-0057-6) , the content will be submitted to Ei compendex, Scopus, etc. *Previous ICCDA Past ICCDA papers were all published in the prestigious ACM proceedings: 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/iccda2023 *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 *Contact Ms. Maggie X. Xu Tel.: +86 180 8007 5398 Tmail: [email protected]