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MEDI 2023: International Conference on Model and Data Engineering

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截稿日期:
2023-07-22
通知日期:
2023-09-08
会议日期:
2023-11-02
会议地点:
Sousse, Tunisia
届数:
12
ICORE: C   浏览: 17808   关注: 1   参加: 0

会伴指数 (CP-I)

49.4 / 100
全站第 1,695 名 / 共 5,680 个会议 · 前 30%

数据挖掘与数据库 第 92 / 337

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
69
社区关注 (10%)
15
资料公开度 (15%)
25

用到的输入: 收录等级：ICORE C · 有据可查的届次：12 · 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：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 80% —— 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

MEDI 2023 (International Conference on Model and Data Engineering) is a ICORE C conference held in Sousse, Tunisia on 2023-11-02. The paper submission deadline is 2023-07-22. Acceptance notifications are sent on 2023-09-08.

Specific areas of interest to MEDI2023 include but are not limited to: Modelling and Models Engineering Modelling languages and related standards Modelling in software and complex system engineering Formal methods, analysis, verification & validation Model-based testing and performance analyses Ontology-based modelling Heterogeneous modelling, model integration, interoperability, model transformation Collaborative modelling and model repositories Models for parallel and distributed computing Models as services and models monitoring Modelling for reuse, dependability and maintainability Models for privacy, security, trust, risk Data privacy and Security Models for Data Science Models for Explainable AI Data Engineering New models and architectures for databases Heterogeneous data, data Integration, Interoperability Data warehouses, OLAP, data mining and Analytics Extending Data Warehousing Technology Database system Internals, performance analysis, self-tuning benchmarking and testing Database security, personalization, recommendation Web databases, Knowledge Graphs Service based data management Service oriented applications Urbanization of database applications Data models for AI techniques and Machine Learning Data Quality Data Analytics Applications and tools Industry transfer, experiences Applications of modelling for Data Management Applications of modelling for Biomedical data and systems Modelling tools and experimentation Lessons learned and reports related to models/data engineering
由 Dou Sun 最后更新于

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CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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CFuture Generation Computer Systems5.9Elsevier0167-739X
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IEEE Access3.6IEEE2169-3536
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