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BigSDM 2018: International Conference on Big Scientific Data Managemen

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截稿日期:
2018-09-30 Extended
通知日期:
2018-10-20
会议日期:
2018-11-30
会议地点:
Beijing, China
浏览: 14317   关注: 0   参加: 0

会伴指数 (CP-I)

42.1 / 100
全站第 4,137 名 / 共 5,682 个会议 · 前 73%
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%)
8
资料公开度 (15%)
25

用到的输入: 过去 24 个月打开过本页的研究者:2 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 1.1 · 算于 2026-09-20

征稿

BigSDM 2018 (International Conference on Big Scientific Data Managemen) is an academic conference held in Beijing, China on 2018-11-30. The paper submission deadline is 2018-09-30 (extended). Acceptance notifications are sent on 2018-10-20.

Topics The two-day conference provides an open forum to discuss the opportunities and challenges of a big scientific data ecosystem, and to explore best practices, standards, architectures and data infrastructures for fostering cross-disciplinary discovery and innovation. Topics of interest include, but are not limited to: • Paradigms for enhancing scientific discovery through big data • Framework for helping the science and AI communities to work together • Data cleansing and quality assurance of science data • Data sharing and preservation policy • Data management challenges posed by big scientific data • Machine learning methods to facilitate/accelerate scientific discovery • Streaming data, sensor networks and complex event processing • Scientific workflow management • Science platforms: (hardware/software) tools for data discovery and analysis from different angles • Storage system for large scale scientific applications • Cloud technology for big scientific applications • Scientific data visualisation Paper Submission The online submission system is: https://easychair.org/conferences/?conf=bigsdm2018. Authors may submit to either the full paper or short paper track. Full papers should be between 10 to 12 pages in length, and short papers between 6 to 8 pages. All submissions must be written in English and conform to the Springer LNCS proceedings format(http://www.springer.com/cn/computer-science/lncs/conference-proceedings-guidelines). Accepted papers will be published in LNCS proceeding.
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