会议信息

OBD 2016: International Conference on Open and Big Data

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OBD
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截稿日期:
2016-04-18 Extended
通知日期:
2016-05-30
会议日期:
2016-08-22
会议地点:
Vienna, Austria
届数:
2
浏览: 17678   关注: 2   参加: 0

会伴指数 (CP-I)

39.0 / 100
全站第 5,308 名 / 共 5,683 个会议 · 前 94%

数据挖掘与数据库 第 317 / 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%)
30
社区关注 (10%)
19
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：2 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 2026-09-21

征稿

OBD 2016 (International Conference on Open and Big Data) is an academic conference held in Vienna, Austria on 2016-08-22. The paper submission deadline is 2016-04-18 (extended). Acceptance notifications are sent on 2016-05-30.

Data has become a key asset in modern societies, economies, and governmental organizations. Big Data encompasses various kinds of complex and large scale information that are beyond the processing capabilities of conventional software and databases. Open Data on the other hand can make Big Data more useful and widely accessible. The combination of Open and Big data can benefit users, developers, companies and various kinds of organizations to carry out useful analysis of data pattern and trends, make intelligent decisions, and solve complex problems that can help societies and economies and speed up innovations. The aim of the Open and Big Data conference (OBD 2016) is to promote the state of the art in scientific and practical research of open and big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas. Topics of interest include, but are not limited to: Challenges and opportunities in open and big data Data models and architectures Security, privacy, and trust Data protection and integrity Identity theft, data loss and leakage Legal and ethical issues Data analytics and metrics Data representation and structures Data management and processing Data capturing and acquisition Tools and technologies QoS in open and big data Social networks analysis Data searching and mining Visualisation of data Personal data logging and quantified-self Context-aware data Personalisation of data Data economics Applications of open and big data Open and linked data Methodologies and use cases Usability issues Storages and network requirements Network models and protocols Open and big data in cloud and IoT PUBLICATION: All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS) (approval pending). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services; Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see Journal Special Issues section).
由 Dou Sun 最后更新于

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IEEE Open Journal of Control SystemsIEEE2694-085X
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
Open Systems and Information DynamicsSpringer1573-1324
Open Ceramics3.4Elsevier2666-5395
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