会议信息

ICBDC 2026: International Conference on Big Data and Computing

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ICBDC
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截稿日期:
2026-04-10 Extended
通知日期:
2026-04-25
会议日期:
2026-05-16
会议地点:
Jeju Island, South Korea
届数:
11
浏览: 27417   关注: 35   参加: 3

会伴指数 (CP-I)

51.0 / 100
全站第 1,355 名 / 共 5,683 个会议 · 前 24%

数据挖掘与数据库 第 66 / 337

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%)
67
社区关注 (10%)
49
资料公开度 (15%)
35

用到的输入: 有据可查的届次：11 · 在会伴关注它的研究者：35 人 · 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 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 1.1 · 算于 2026-09-22

征稿

ICBDC 2026 (International Conference on Big Data and Computing) is an academic conference held in Jeju Island, South Korea on 2026-05-16. The paper submission deadline is 2026-04-10 (extended). Acceptance notifications are sent on 2026-04-25.

ICBDC solicits original, unpublished and novel papers for research publication and presentation in research track, and industry/application papers in application track. Articles in all areas of Big Data and Computing are of interest, including the following: Algorithmic, experimental, prototyping and implementation Big Data Algorithms, Applications and Services Big Data Mining and Analytics Big Data Processing and Querying Cloud and Big Data for Internet of Things (IoT) Computing, scheduling and resource management for sustainability Government and Industrial Experiences for Cloud and Big Data Green Computing and Networking Technologies for Cloud and Big Data Green data centers / environmental-friendly perspectivesGreen data centers / environmental-friendly perspectives Software Engineering for Cloud Computing and Big Data Software, hardware and algorithm co-design, high-performance computing Software and tools for big data management Cloud Computing Solutions and Platforms Privacy and Security for Cloud and Big Data Big Data Visualization Big Data Education Data quality issues: such as validation, metrics, optimizations and consistency Data-driven innovation, computational modelling and data integration Data intensive computing theorems and technologies Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS
由 Dunn Carl 最后更新于

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