会议信息

BigDataService 2025: IEEE International Conference on Big Data Computing Service and Machine Learning Applications

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BigDataService
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截稿日期:
2025-05-01
通知日期:
2025-05-26
会议日期:
2025-07-21
会议地点:
Tucson, Arizona, USA
届数:
11
浏览: 22169   关注: 12   参加: 2

会伴指数 (CP-I)

49.6 / 100
全站第 1,643 名 / 共 5,680 个会议 · 前 29%

数据挖掘与数据库 第 88 / 337 人工智能与机器学习 第 163 / 739

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%)
67
社区关注 (10%)
35
资料公开度 (15%)
35

用到的输入: 有据可查的届次：11 · 在会伴关注它的研究者：12 人 · 过去 24 个月打开过本页的研究者：3 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 2026-09-11

征稿

BigDataService 2025 (IEEE International Conference on Big Data Computing Service and Machine Learning Applications) is an academic conference held in Tucson, Arizona, USA on 2025-07-21. The paper submission deadline is 2025-05-01. Acceptance notifications are sent on 2025-05-26.

List of Topics (including but not limited to): Big Data Analytics and Machine Learning Algorithms and systems for big data analytics Big data Machine learning, predictive and causal analytics Visualization and visual analytics systems for big data Knowledge modeling, extraction, discovery, analysis, and presentation Big data Business intelligence Optimization and agentic models for big data Artificial intelligence models at scale Large language models Neuro-symbolic approaches at large scale Integrated and Distributed Systems Sensor networks Internet of Things, web of things Networking and protocols Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.) Big Data Platforms and Technologies Innovative, concurrent, and scalable big data platforms Data indexing, cleaning, transformation, and curation technologies Big data processing frameworks and technologies Big data services and application development methods and tools Big data quality evaluation and assurance technologies Big data system reliability, dependability, and availability Open-source development and technology for big data Big Data as a Service (BDaaS) platform and technologies Big Data Foundations Foundational theoretical or computational models for big data Programming models, theories, and algorithms for big data Standards, protocols, and quality assurance for big data Big Data Applications and Experiences Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, security Experiences and case studies of big data applications and services Real-world and large-scale practices of big data
由 Dou Sun 最后更新于

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