会议信息

CBD 2026: IEEE International Conference on Advanced Cloud and Big Data

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截稿日期:
2026-07-30 已截稿
通知日期:
2026-08-30
会议日期:
2026-11-21
会议地点:
Kunming, China
届数:
浏览: 41744   关注: 22   参加: 16
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CBD
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会伴指数 (CP-I)

55.1 / 100
全站第 886 名 / 共 5,759 个会议 · 前 16%

数据挖掘与数据库 第 41 / 339

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%)
73
社区关注 (10%)
48
资料公开度 (15%)
55

用到的输入: 有据可查的届次：14 · 在会伴关注它的研究者：22 人 · 过去 24 个月打开过本页的研究者：9 人

公开资料里还缺: 历年录用率 (+4.5) · 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 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 2026-10-23

征稿

CBD 2026 (IEEE International Conference on Advanced Cloud and Big Data) is an academic conference held in Kunming, China on 2026-11-21. The paper submission deadline is 2026-07-30. Acceptance notifications are sent on 2026-08-30.

Scope of Conference The International Conference on Advanced Cloud and Big Data (CBD) provides a forum for both academics and practitioners working on cloud computing and big data technologies to explore new ideas, share their experiences and leverage each other’s perspectives. Besides the latest research achievements, this conference also covers cloud/big data industry practices and their broad applications, and gives all participants a chance to identify the new/emerging “hot” trends in these areas. We solicit original papers on a wide range of cloud computing and big data topics that can be divided into three tracks but are not limited to: Research Track Cloud Security and Privacy Cloud-Native Theories and Algorithms Cloud Resource Management Multi/Hybrid/Inter Cloud Big Data Processing/Mining/Analytics Big Data Availability and Reliability Big Data Protection and Privacy Cloud Data Center Networking Edge Computing Architecture and Algorithm Communication and Networking for Big Data Energy-Efficient Computing for Big Data Cloud and Big Data Intelligence Industry Track Cloud Computing Solutions Cloud Computing Specifications/Standards Big Data Solutions Big Data Specifications/Standards Cloud and Big Data in Industry Practices Application Track Cloud Applications and Services Big Data Applications and Services AI for Cloud and Big Data Blockchain for Cloud and Big Data IoT, Smart City and Healthcare
由 Dou Sun 最后更新于

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