Computing & Data · Data Science & Analytics
10th International Conference on Geoinformatics and Data Analysis (ICGDA 2027)
Recurring
Part of the International Conference on Big Data and Social Sciences (ICBDSS) series →Recurring
2025 6th International Conference on Big Data and Social Sciences (ICBDSS 2025) will be held on October 24-26, 2025, in Jeju Island, South Korea. Conference Website: https://ais.cn/u/iABf6j ---Call for papers--- The topics of interest include, but are not limited to: ◕ Big Data - Big data application - Big data management - Data science model and method - Big data algorithm - Big data search and information retrieval technology - Big data and deep learning - Scalable computational models, theory and algorithms - Memory systems and platforms for big data analytics - Big data and high performance computing - Big data system performance evaluation report ...... ◕ Social Sciences - Educational Science Research Based on Big Data (Educational Science) - Cultural Studies Based on Big Data Methods (Culture) - Literary Studies Based on Big Data Methods (Literature) - Political Research Based on Big Data Methods (Politics) - Research on Philosophy Based on Big Data (Philosophy) - Research on Marxist Theoretical Problems Based on Big Data Method (Marxism) - Research on Ethics and Methodology of Big Data Application (Ethics) ...... ---Publication--- All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of ICBDSS 2024 will be published in Conference Proceedings and submitted to Inspec and CNKI for indexing, and where applicable, also submitted to Ei Compendex and Scopus (Subject to acceptance). ---Important Dates--- Full Paper Submission Date: September 25, 2025 Registration Deadline: October 1, 2025 Final Paper Submission Date: October 10, 2025 Conference Dates: October 24-26, 2025 --- Paper Submission--- Please send the full paper(word+pdf) to Submission System: https://ais.cn/u/iABf6j
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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.