会议信息

BDIoT'' 2026: International Conference on Big Data & IOT

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截稿日期:
2026-07-18 已截稿
通知日期:
2026-08-22
会议日期:
2026-10-17
会议地点:
Sydney, Australia
届数:
浏览: 16453   关注: 2   参加: 1
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会伴指数 (CP-I)

49.4 / 100
全站第 1,847 名 / 共 5,763 个会议 · 前 33%

数据挖掘与数据库 第 104 / 339 网络与通信 第 268 / 874

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%)
56
社区关注 (10%)
24
资料公开度 (15%)
55

用到的输入: 有据可查的届次：7 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
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置信度 45% —— 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 2026-10-29

征稿

BDIoT'' 2026 (International Conference on Big Data & IOT) is an academic conference held in Sydney, Australia on 2026-10-17. The paper submission deadline is 2026-07-18. Acceptance notifications are sent on 2026-08-22.

Scope 7th International Conference on Big Data & IoT (BDIoT 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data and IoT. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Big Data, Internet of Things and advances. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following · 5G and Networks for Big Data · AI for IoT · Big Data Analytics and Social Media · Big Data Applications, Bioinformatics, Multimedia etc · Big Data Infrastructure and platform · Big Data Management · Big Data Search and Mining · Big Data Security, Privacy and Trust · Big Data Techniques, models and algorithms · Big Data Tools and systems · Blockchain and IoT · Cloud and grid computing for Big Data · Electronics and Signal processing for IoT · Energy Efficiency and Sustainability in IoT · Human Interaction with IoT · Interoperability in IoT · IoT Applications and Industry 4.0 · IoT Communication Technologies · IoT Edge and Cloud Architectures · IoT enabled Innovation and Entrepreneurship · IoT Experimental Results and Deployment Scenarios · Machine Learning and AI for Big Data · Machine learning and IoT · Robotic IoT Systems · Security and Privacy for IoT · Self-adaptation for IoT Systems · Software Engineering for IoT · Web of Things
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