会议信息

ICCDA' 2026: International Conference on Computing and Data Analysis

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ICCDA'
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截稿日期:
2026-10-15 还有 11 天 Extended
通知日期:
2026-11-15
会议日期:
2026-12-18
会议地点:
Phuket, Thailand
届数:
10
主办方:
浏览: 21157   关注: 16   参加: 0

会伴指数 (CP-I)

50.4 / 100
全站第 1,517 名 / 共 5,693 个会议 · 前 27%
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%)
65
社区关注 (10%)
48
资料公开度 (15%)
35

用到的输入: 有据可查的届次：10 · 在会伴关注它的研究者：16 人 · 过去 24 个月打开过本页的研究者：14 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 2026-10-04

征稿

ICCDA' 2026 (International Conference on Computing and Data Analysis) is an academic conference held in Phuket, Thailand on 2026-12-18. The paper submission deadline is 2026-10-15 (extended). Acceptance notifications are sent on 2026-11-15.

Topics are interested but not limited to: Foundations Mathematical, probabilistic and statistical models and theories Machine learning theories, models and systems Knowledge discovery theories, models and systems Manifold and metric learning Deep learning Scalable analysis and learning Non-iidness learning Heterogeneous data/information integration Data pre-processing, sampling and reduction Dimensionality reduction Feature selection, transformation and construction Large scale optimization High performance computing for data analytics Architecture, management and process for data science Data analytics, machine learning and knowledge discovery Learning for streaming data Learning for structured and relational data Latent semantics and insight learning Mining multi-source and mixed-source information Mixed-type and structure data analytics Cross-media data analytics Big data visualization, modeling and analytics Multimedia/stream/text/visual analytics Relation, coupling, link and graph mining Personalization analytics and learning Web/online/social/network mining and learning Structure/group/community/network mining Cloud computing and service data analysis Storage, retrieval and search Data warehouses, cloud architectures Large-scale databases Information and knowledge retrieval, and semantic search Web/social/databases query and search Personalized search and recommendation Human-machine interaction and interfaces Crowdsourcing and collective intelligence
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