会议信息

ABA 2016: International Symposium on Advanced Big Data and Applications

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截稿日期:
2016-05-15
通知日期:
2016-05-30
会议日期:
2016-08-22
会议地点:
Vienna, Austria
浏览: 14461   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%

数据挖掘与数据库 第 252 / 337

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 2026-09-16

征稿

ABA 2016 (International Symposium on Advanced Big Data and Applications) is an academic conference held in Vienna, Austria on 2016-08-22. The paper submission deadline is 2016-05-15. Acceptance notifications are sent on 2016-05-30.

Big data is a new trend in modern computing paradigm. Big data come in different formats and from different sources such as human movements, computing devices, sensor networks, smart phones, vehicles, and network traffic. Realising the importance of such data, the majority of businesses, industries and organizations are constantly rethinking their business models embracing the big data challenges. Indeed, such data is revolutionizing the way businesses and organizations gather, store, process, analyse and share all sorts of data for various purposes such as, customer behaviour, decision making, product and service improvement, etc. The aim of this symposium is to address issues and challenges related to the advances in big data and its applications in various domains such as businesses, industries, healthcare, finance, education, public sector, and research and development activities. Topics of interest include, but are not limited to: Big data models and architectures Big data representation and visualisation Big data processing and management Big data searching and mining Big data measurement benchmarks Big data analytics Engineering big data Quality of Service (QoS) aspects of big data Network models and protocols for big data Big data and social networks Big data and cloud computing Big data and context-aware computing Big data and Internet of Things (IoT) Security, privacy, and trust in big data Economics of big data Case studies
由 Xin Yao 最后更新于

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