会议信息

DataCom 2024: International Conference on Big Data Intelligence and Computing

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DataCom
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截稿日期:
2024-06-10
通知日期:
2024-07-05
会议日期:
2024-09-09
会议地点:
Poznan, Poland
届数:
8
浏览: 25364   关注: 9   参加: 7

会伴指数 (CP-I)

46.1 / 100
全站第 2,463 名 / 共 5,681 个会议 · 前 44%

数据挖掘与数据库 第 143 / 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%)
59
社区关注 (10%)
30
资料公开度 (15%)
25

用到的输入: 有据可查的届次：8 · 在会伴关注它的研究者：9 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 2026-09-13

征稿

DataCom 2024 (International Conference on Big Data Intelligence and Computing) is an academic conference held in Poznan, Poland on 2024-09-09. The paper submission deadline is 2024-06-10. Acceptance notifications are sent on 2024-07-05.

Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications. The goal of DataCom 2024 is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. DataCom 2024 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data. DataCom 2024 will be held on September 9-13, 2024, co-located with IOV 2024 in Poznan, Poland. Conferences will be held in hybrid mode. Topics of interest include, but are not limited to: ▪ The 5Vs of the data landscape: volume, variety, velocity, veracity, value ▪ Big data science and foundations, analytics, visualization and semantics ▪ Software and tools for big data management. ▪ Security, privacy and legal issues specific to big data ▪ Big data economy, QoS and business models ▪ Scientific discovery and business intelligence ▪ Software, hardware and algorithm co-design, high-performance computing ▪ Large-scale recommendation systems and graph analysis ▪ Infrastructures and systems for big data analytics and managements ▪ Middleware and tools for big data analytics and managements ▪ Algorithmic, experimental, prototyping and implementation ▪ Data quality issues: such as validation, metrics, optimizations and consistency ▪ Data-driven innovation, computational modelling and data integration ▪ Data intensive computing theorems and technologies ▪ Big data for advanced manufacturing and productivity ▪ Modelling, simulation and performance evaluation ▪ Green data centers / environmental-friendly perspectives ▪ Computing, scheduling and resource management for sustainability ▪ Complex applications in areas where massive data is generated
由 Dou Sun 最后更新于

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