Computing & Data · Data Science & Analytics
10th International Conference on Geoinformatics and Data Analysis (ICGDA 2027)
Recurring
Part of the International Conference on Big Data Engineering (BDE) series →Recurring
BDE 2022 information: 1. BDE 2022 is supported by ACM Singapore Chapter. 2. Accepted papers will be published in the International Conference Proceedings ACM(ISBN: 978-1-4503-9563-2), which will be indexed by Ei Compendex and Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). 3. Prof. Rajkumar Buyya from The University of Melbourne, Australia, Prof. Changxu Wu from Tsinghua University, China and Prof. Yao Liang from Purdue University School of Science&Indiana University Purdue University of USA will be the keynote speakers. 4. The history of BDE conference: BDE 2019 received submissions from all over the world and was successfully held in Hong Kong during June 11-13, 2019. BDE 2019 conference proceedings (ISBN: 978-1-4503-6091-3) is archived in the ACM Digital Library on August 8, 2019 and have been indexed by Ei Compendex, Scopus on November 1, 2019. Due to COVID-19 situation,BDE 2020 was held online during May 29-31, 2020. BDE 2020 conference proceedings (ISBN: 978-1-4503-7722-5) is archived in the ACM Digital Library on July 5, 2020 and have been indexed by Ei Compendex, Scopus on September 15, 2020. BDE 2021 was held online during May 29-31, 2021. because of COVID-19 and the accepted papers will be published online soon. Conference Venue Beijing, China Submission and Contact Methods Submission Methods: https://www.zmeeting.org/submission/BDE2022 E-mail: [email protected] Conference Specialist: Ms. Daisy Zheng BDE 2022 can provide a better platform for academic communication in research and development, professional practice in Big Data Engineering For more conference information, please visit the conference website: http://www.bde.net/
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Computing & Data · Data Science & Analytics
Recurring
Computing & Data · Data Science & Analytics
Recurring
Computing & Data · Data Science & Analytics
Recurring
A match in this field was an edition that has ended. The series is suggested in its place, so the recommendation still leads somewhere useful.