会议信息

ICC'' 2017: International Conference on Internet of Things, Data and Cloud Computing

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截稿日期:
2016-10-15 已截稿
通知日期:
会议日期:
2017-03-22
会议地点:
Cambridge, UK
届数:
2
浏览: 18370   关注: 3   参加: 1
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会伴指数 (CP-I)

39.5 / 100
全站第 5,239 名 / 共 5,759 个会议 · 前 91%

系统与体系结构 第 316 / 341 网络与通信 第 805 / 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%)
30
社区关注 (10%)
24
资料公开度 (15%)
25

用到的输入: 有据可查的届次：2 · 在会伴关注它的研究者：3 人 · 过去 24 个月打开过本页的研究者：3 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 1.2 · 算于 2026-10-23

征稿

ICC'' 2017 (International Conference on Internet of Things, Data and Cloud Computing) is an academic conference held in Cambridge, UK on 2017-03-22. The paper submission deadline is 2016-10-15 (extended).

Aim and Scope: The aim of ICC'2017 second edition is to provide a forum for scientists to present their latest research results and perspectives for future work in the IoT and Cloud Computing field. ICC'2017 second edition will include presentations in form of contributed papers, poster sessions, and state-of-the-art lectures by invited keynote speakers. Original unpublished manuscripts, and not currently under review in another journal or conference, are solicited in relevant areas including, but not limited to, the following: http://icc-conference.org/index.php/presentation Publication: All accepted and registered papers will be published by ACM, The ISBN number assigned By ACM ICPS to ICC '2017 conference is 978-1-4503-4774-7 ACM send all published materials to DBLP, Scopus and Thomson Reuters for indexing in their products. We will also publish extended papers at some journals in Inderscience . Special Sessions (http://icc-conference.org/index.php/special-sessions ) 1) Multimedia application in embedded system. 2) Privacy, Security and Trust in Cloud Services 3) Reliability and Availability 4) MCDA methods for Cloud Services discovery, selection and composition 5) Machine Learning on the Cloud 6) Taking IoT to the Edge with the Analytics of Things
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