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DDP 2025: International Conference on Digital Data Processing

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截稿日期:
2025-06-20
通知日期:
2025-07-15
会议日期:
2025-08-18
会议地点:
Luton, UK
届数:
5
浏览: 13021   关注: 3   参加: 0
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会伴指数 (CP-I)

44.6 / 100
全站第 3,034 名 / 共 5,697 个会议 · 前 54%
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%)
48
社区关注 (10%)
22
资料公开度 (15%)
35

用到的输入: 有据可查的届次：5 · 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：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 2026-10-12

征稿

DDP 2025 (International Conference on Digital Data Processing) is an academic conference held in Luton, UK on 2025-08-18. The paper submission deadline is 2025-06-20. Acceptance notifications are sent on 2025-07-15.

As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep learning and many more. Data is growing exponentially in terms of diversity and complexity. One organization or industry processes over a few million transactions per hour and stores hundreds of billions of data. We live in a world with a great need for more efficient data analysis and processing. Data analytics can reveal hidden patterns, complex relationships, internal information relations, and even segmentation. Data applications have opened up new possibilities in every aspect of our lives. Studying data and its structure, dynamics, and modern data technologies is ongoing. There is a great deal of literature and research on data management, but it does not address the data processing needs. Many studies focus on developing models and systems for analyzing large datasets. Data analysis leads to application domains that have a systematic impact on decisions. The knowledge gained from the data analysis enables the generation of critical information for multiple domains. In this conference, we review and discuss the latest trends in data management, the opportunities and challenges, and how they have affected organizations to develop effective business and technology strategies and stay up-to-date in data technology. We also highlight current open research directions in data analytics that need further attention. The proposed conference will discuss topics not limited to Data applications in various domains and activities Data in cloud Real-world data processing Data inaccuracy and reliability issues Data Ecosystem Business Analytics New data analytics techniques Physical and management challenges Synthetic data Data synthesis Crowdsourcing and Sensing Data modelling Deep learning techniques Data fusion Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics Machine learning impact on data processing Network optimization Data in Biomedical Engineering Data in Materials science and mechanics Data handling and applications in domains Wireless Networking Data Management Data of Electronic & Embedded Systems Multi-media Systems Data Artificial Intelligence Models and Systems Data E-Computing Data Renewable Energies Data
由 Dou Sun 最后更新于

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