会议信息

CDBDCom 2018: IEEE International Conference on Cloud and Big Data Computing

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CDBDCom
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搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2018-05-15 Extended
通知日期:
2018-06-25
会议日期:
2018-10-08
会议地点:
Guangzhou, China
届数:
4
浏览: 15284   关注: 4   参加: 0

会伴指数 (CP-I)

42.3 / 100
全站第 4,096 名 / 共 5,693 个会议 · 前 72%

数据挖掘与数据库 第 250 / 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%)
43
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：4 · 在会伴关注它的研究者：4 人 · 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 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 2026-10-04

征稿

CDBDCom 2018 (IEEE International Conference on Cloud and Big Data Computing) is an academic conference held in Guangzhou, China on 2018-10-08. The paper submission deadline is 2018-05-15 (extended). Acceptance notifications are sent on 2018-06-25.

The IEEE International Conference on Cloud and Big Data Computing (CBDCom) is a premier conference covering all aspects of cloud computing and big data. IEEE CBDCom 2018 will be held in Guangzhou during October 8-12, 2018. IEEE CBDCom 2018 encourages submissions that present fundamental insights and contributions to the fields of cloud and big data computing. This conference also covers the latest research achievements, novel data management systems, innovative applications of cloud computing and big data technologies, and experiences in applying recent research findings to real-world problems. Topics of interest include, but are not limited to: Cloud computing solutions and platforms Cloud data management and storage Cloud resource management and quality-of-service Cloud related virtualization technologies Big data algorithms, applications and services Big data cleansing, mining and analytics Big data processing and querying Big data visualization an education Cloud and big data for the Internet of Things (IoT) Government and industrial experiences for cloud and big data Green computing and networking for cloud and big data Software engineering for cloud computing and big data Cloud and big data intelligence Cloud and big data privacy and security Submitted papers cannot be previously published nor under review by other conferences or journals. Submissions are not required to be double blind, i.e., authors can keep their names on the submitted papers.
由 Dou Sun 最后更新于

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