ICCDA 2024 - 8th International Conference on Computing and Data Analysis (ICCDA 2024)
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Website http://iccda.org/ |
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Category Computing and Data Analysis
Deadline: September 15, 2024 | Date: October 25, 2024-October 27, 2024
Venue/Country: Wenzhou, China
Updated: 2023-12-18 17:44:37 (GMT+9)
Call For Papers - CFP
Full Name: 2024 The 8th International Conference on Computing and Data Analysis (ICCDA 2024)Abbreviation: ICCDA 2024October 25-27, 2024 - Wenzhou, ChinaMore 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 October 25-27, 2024.Conference ProceedingsFull Paper submitted and accepted after successful registration will be published by Conference Proceedings.SCI/EI Journal:Journal of Information Science and EngineeringIndexed In: indexed within EI Compendex, Scopus, SCIE (Web of Science), etcImpact Factor: 1.142Special Issue:"Special Issue on Advanced Networking and Communication Solutions for Wireless Mobile Networks"*Previous ICCDAPast ICCDA papers were all published in the prestigious ACM proceedings:ICCDA 2023, ISBN: 979-8-4007-0057-6, EI, Scopus indexingICCDA 2022, ISBN: 978-1-4503-9547-2, EI, Scopus indexedICCDA 2021, ISBN: 978-1-4503-8911-2, EI, Scopus indexedICCDA 2020, ISBN: 978-1-4503-7644-0, EI, Scopus indexedICCDA 2019, ISBN: 978-1-4503-6634-2, EI, Scopus indexedICCDA 2018, ISBN: 978-1-4503-6359-4, EI, Scopus indexedICCDA 2017, ISBN: 978-1-4503-5241-3, EI, Scopus indexed*Submission Linkhttps://www.zmeeting.org/submission/iccda2024*TopicsMathematical, probabilistic and statistical models and theoriesMachine learning theories, models and systemsKnowledge discovery theories, models and systemsManifold and metric learningDeep learningScalable analysis and learningNon-iidness learningHeterogeneous data/information integrationData pre-processing, sampling and reductionDimensionality reductionFeature selection, transformation and constructionLarge scale optimizationHigh performance computing for data analyticsArchitecture, management and process for data scienceMore topics: http://iccda.org/cfp.html*ContactMs. Maggie X. XuTel.: +86 180 8007 5398E-mail: iccda_info163.comWeChat: iconf-cs-1
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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