会议信息

ICAISE 2021: International Conference on Advanced Information Systems and Engineering

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截稿日期:
2021-03-10 已截稿
通知日期:
2021-03-30
会议日期:
2021-05-28
会议地点:
Beijing, China
届数:
3
浏览: 11643   关注: 0   参加: 0
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ICAISE
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会伴指数 (CP-I)

39.5 / 100
全站第 5,203 名 / 共 5,721 个会议 · 前 91%

信息系统与 Web 第 227 / 254

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%)
37
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次:3 · 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 1.2 · 算于 2026-10-18

征稿

ICAISE 2021 (International Conference on Advanced Information Systems and Engineering) is an academic conference held in Beijing, China on 2021-05-28. The paper submission deadline is 2021-03-10. Acceptance notifications are sent on 2021-03-30.

Contributions about methods, models, techniques, architectures and platforms for supporting the engineering and evolution of information systems and organizations could include (but are not limited to): ▪ Models, Methods and Techniques in IS Engineering - Conceptual modeling, languages and design - Requirements engineering - Business process modeling, analysis, and engineering - Process mining - Models and methods for evolution and reuse - Domain and method engineering - Variability and configuration management - Compliance and alignment handling - Active and interactive models - Quality of IS models for analysis and design ▪ Domain Specific and multi-aspect IS Engineering - IT governance - eGovernment - Cyber security - Smart City management - Industrial ecology management - IS for healthcare - Educational IS - Value and supply chain management - Industry 4.0 - Sustainability and social responsibility management - Predictive information systems - Big Data and privacy - Safety management - Dark data processing ▪ Novel approaches to IS Engineering - Context-aware and adaptive systems - Agile enterprise models and architecture - Distributed, mobile and open architecture - IS for collaboration - Social computing - Customer analytics - Secure and trusted systems - Big data application in IS - Application of AI in IS - Data and business analytics - Use of new visualization techniques in IS - Service science and innovation ▪ Architectures and Platforms for IS Engineering - Big Data architectures - Cloud-based IS engineering - Service oriented IS engineering - Multi-agent IS engineering - Robotic Process Automation - Multi-platform IS engineering - Cyber-physical systems - Big data and the Internet of Things - Blockchains - Digital twins - Workflow and PAIS systems - Handling of real time data streams - Content management and semantic Web
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