会议信息

DEBD 2026: International Conference on Digital Economy and Big Data

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截稿日期:
2026-04-25 已截稿
通知日期:
2026-06-05
会议日期:
2026-06-26
会议地点:
Changsha, China
浏览: 1246   关注: 0   参加: 0
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DEBD
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会伴指数 (CP-I)

44.0 / 100
全站第 3,283 名 / 共 5,696 个会议 · 前 58%

数据挖掘与数据库 第 186 / 336

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
12
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：4 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 25% —— 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 1.2 · 算于 2026-10-15

征稿

DEBD 2026 (International Conference on Digital Economy and Big Data) is an academic conference held in Changsha, China on 2026-06-26. The paper submission deadline is 2026-04-25. Acceptance notifications are sent on 2026-06-05.

Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. Please check the topics of DEBD 2026. The topics are not limited to those as below: Digital Economy Fintech Digital Transformation and Business Innovation Internet Economy Platform Economy and Sharing Economy Digital Finance Cross-border E-commerce and Global Supply Chains Smart Cities and Digital Governance AI-driven Business Decision-making Blockchain Technology Digital Trade Virtual Economy and Metaverse Industries Digital Human Resource Management Sustainable Digital Economy and Green Innovation Digital Cultural Industry and Creative Economy Policy and Regulation in the Digital Economy Corporate Digital Strategies and Competitive Advantage Big Data Big Data Analytics for Finance Big Data Analytics and Data Mining Data-driven Business Intelligence Big Data and Business Analytics Cloud Computing and Big Data Infrastructure Machine Learning and Predictive Modeling Big Data Visualization Data Privacy and Ethics Social Media and Sentiment Analysis Healthcare Data Analytics Financial Data Modeling and Risk Analysis Educational Data Mining and Learning Analytics Real-Time Data Stream Processing Big Data Security and Storage Technologies
由 Dou Sun 最后更新于

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