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ICBDAA 2026: International Conference on Big Data Analysis and Application

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截稿日期:
2026-10-20 已截稿
通知日期:
2026-10-30
会议日期:
2026-11-27
会议地点:
Singapore
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证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
15
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：6 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-08

征稿

ICBDAA 2026 (International Conference on Big Data Analysis and Application) is an academic conference held in Singapore on 2026-11-27. The paper submission deadline is 2026-10-20 (extended). Acceptance notifications are sent on 2026-10-30.

ICBDAA 2026 is scheduled to include high-quality research papers revealing the latest research findings, and to engage participants in interesting discussion sessions. Topics of interest includes but is not limited to the following: *Big Data Analysis Big Data Analysis Search and Mining Big Data Analysis Encryption Big Data Analysis Management Big Data Analysis Analytics and Metrics Big Data Analysis Architectures Big Data Processing and Querying Data Visualization and Visual Analytics Evolutionary and Bio-inspired approaches for Big Data analysis Big Data Visualization Machine learning based on Big Data Big Data Analysis Search and Mining Big data analytics and social media Data mining, graph mining and data science Visualization Analytics for Big Data Big Data Models and Algorithms Cloud Computing Techniques for Big Data Big Data in Mobile and Pervasive Computing Big Data Search and Mining Novel Computational Intelligence approaches for data analysis *Big Data Applications Representation Formats for Multimedia Big Data New domains and novel applications related to Big Data technologies Scientific Applications of Big Data Big Data for Internet of Things (IoT) Government and Industrial Experiences for Cloud and Big Data Green Computing and Networking Technologies for Cloud and Big Data Big Data Education Big Data Analysis for Business Model Innovation Big Data Analysis for Enterprise, Government and Society Big Data Analysis Economics Big data applications: Bioinformatics Big Data for Business Model Innovation Big Data for Enterprise Transformation Big Data for Vertical Industries (including Government, Healthcare, and Environment) Big Data in Smart Planet Solutions Machine learning and AI for big data Real-life Case Studies of Value Creation through Big Data Analytics SME-centric Big Data Analytics Software Engineering for Cloud Computing and Big Data
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