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ICBDM 2024: International Conference on Big Data in Management

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截稿日期:
2024-10-10
通知日期:
2024-10-25
会议日期:
2024-12-14
会议地点:
Chiang Mai, Thailand
届数:
5
浏览: 5554   关注: 0   参加: 0

会伴指数 (CP-I)

43.2 / 100
全站第 3,673 名 / 共 5,682 个会议 · 前 65%

数据挖掘与数据库 第 218 / 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%)
48
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 有据可查的届次：5 · 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 2026-09-16

征稿

ICBDM 2024 (International Conference on Big Data in Management) is an academic conference held in Chiang Mai, Thailand on 2024-12-14. The paper submission deadline is 2024-10-10. Acceptance notifications are sent on 2024-10-25.

Papers related to the conference theme are especially solicited, including theories, methodologies, and emerging applications. The following contributions, including but not limited to the following technical areas, are invited: • Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data • Algorithms and Systems for Big Data Search • Distributed, and Peer-to-peer Search • Big Data Search Architectures, Scalability and Efficiency • Data Acquisition, Integration, Cleaning, and Best Practices • Visualization Analytics for Big Data • Computational Modeling and Data Integration • Large-scale Recommendation Systems and Social Media Systems • Cloud/Grid/Stream Data Mining- Big Velocity Data • Link and Graph Mining • Semantic-based Data Mining and Data Pre-processing • Mobility and Big Data • Multimedia and Multi-structured Data- Big Variety Data • Social Web Search and Mining • Web Search • Intrusion Detection for Gigabit Networks • Anomaly and APT Detection in Very Large Scale Systems • High Performance Cryptography • Visualizing Large Scale Security Data • Threat Detection using Big Data Analytics • Privacy Threats of Big Data • Privacy Preserving Big Data Collection/Analytics • HCI Challenges for Big Data Security & Privacy • User Studies for any of the above • Sociological Aspects of Big Data Privacy • Trust management in IoT and other Big Data Systems • Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication • Big Data Analytics in Small Business Enterprises (SMEs) • Big Data Analytics in Government, Public Sector and Society in General • Real-life Case Studies of Value Creation through Big Data Analytics • Big Data as a Service • Big Data Industry Standards • Experiences with Big Data Project Deployments
由 Dou Sun 最后更新于

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