The International Conference on Compute and Data Analysis (ICCDA), is an annual conference held 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 compute and data analysis.
The previous editions of ICCDA were held in Florida Polytechnic University, Lakeland, Northern Illinois University (NIU) DeKalb, University of Hawaii Maui College, Kahului, Silicon Valley, USA. ICCDA 2022 conference will be located in Sanya, China during Feb. 18-20, 2021.
We believe the final program will be the result of a highly selective review process designed to include the best work of its kind in every category. You are cordially invited to submit your recent research work to the ICCDA 2022.
Full Paper submitted and accepted after successful registration will be published in the Conference Proceedings, the content will be submitted to the indexing companies for possible indexing, Scopus, Ei compendex, etc.
Past ICCDA papers were published in the prestigious ACM proceedings:
978-1-4503-7644-0, EI, Scopus
ICCDA19, ISBN: 978-1-4503-6634-2, EI, Scopus Screen shot
ICCDA18, ISBN: 978-1-4503-6359-4, EI, Scopus Screen shot
ICCDA17, ISBN: 978-1-4503-5241-3, EI, Scopus Screen shot
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TOPICS INTERESTED BUT NOT LIMITED
The manuscript in double-column ACM format, up to10 pages. Manuscripts must be written in English and follow the instructions at ACM Word Template for SIG Site.
To ensure the high quality of the accepted papers, all submissions will be peer-reviewed. Please only submit original material where copyright of all parts is owned by the authors declared and which is not currently under review elsewhere.
Online Submission System:http://www.easychair.org/conferences/?conf=iccda2022
ICCDA 2021, ISBN:978-1-4503-8911-2, online:soon
ICCDA 2020, ISBN:978-1-4503-7644-0, online:http://dl.acm.org/citation.cfm?id=3388142
ICCDA 2019, ISBN:978-1-4503-6634-2, online:http://dl.acm.org/citation.cfm?id=3314545
ICCDA 2018, ISBN:978-1-4503-6359-4, online:https://dl.acm.org/citation.cfm?id=3193077
ICCDA 2017, ISBN:978-1-4503-5241-3, online: http://dl.acm.org/citation.cfm?id=3093241