会议信息

CSDE 2026: Asia-Pacific Conference on Computer Science and Data Engineering

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截稿日期:
2026-09-05
通知日期:
2026-09-20
会议日期:
2026-11-01
会议地点:
Cox's Bazar, Bangladesh
届数:
浏览: 14291   关注: 1   参加: 0

会伴指数 (CP-I)

50.8 / 100
全站第 1,419 名 / 共 5,693 个会议 · 前 25%

数据挖掘与数据库 第 70 / 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%)
67
社区关注 (10%)
17
资料公开度 (15%)
55

用到的输入: 有据可查的届次:11 · 在会伴关注它的研究者:1 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) · 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 2026-10-02

征稿

CSDE 2026 (Asia-Pacific Conference on Computer Science and Data Engineering) is an academic conference held in Cox's Bazar, Bangladesh on 2026-11-01. The paper submission deadline is 2026-09-05. Acceptance notifications are sent on 2026-09-20.

Topic of Interest COMPUTER SCIENCE Biomedical Engineering- Theory and Practice; Blockchain: Theory, Application and Security; Computer Vision – Algorithms and Applications; Computer human interaction; Cloud Computing; E-Health; E-Learning; Edge/Fog Computing; Green Computing; Information Systems and Security; Internet of Things; Multimedia; Mechatronics and Robotics; Networking Protocol and Security; Privacy, Identity and Trust in E-Society; Quantum Computing; and More. DATA SCIENCE Artificial Intelligence; Application of Data Science in Business, Education, Engineering, Health, Social Sciences and Environment; Autonomous Machines and Intelligent Automation; Big Data Platform: Hadoop, Spark, H2O and others; Data-centric Audit and Protection Tools; Data Pre-Processing: Data Scraping, Data Fusion & Integration, Data Masking and Steam Data; Data Visualization: Collaborative, Co-Located and Distributed; Deep Learning and Convolutional Neural Networks; Machine Learning Algorithms: Supervised and Unsupervised Theory and Applications; Natural Language Processing; NoSQL Theory and Practice; Optimization Theory and Practice; Predictive Modelling and Analytics; Quantum Machine Learning Algorithms and More.
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