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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING期刊基本信息

  • 簡稱:IEEE T KNOWL DATA EN
  • 大類:工程技術
  • 小類:計算機:人工智能
  • ISSN:1041-4347
  • IF值:3.857
  • 周期:Bimonthly
  • 是否SCI:SCI/SCIE
  • 是否OA:No
  • 出版地:UNITED STATES
  • 年文章數(shù):196
  • 審稿速度:一般,3-8周
  • 平均錄用比例:較易
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING中文簡介

范圍包括計算機科學、人工智能、電氣工程、計算機工程和其他適當領域的知識和數(shù)據(jù)工程方面。這項交易提供了一個國際性和跨學科的論壇,以交流知識和數(shù)據(jù)工程的新發(fā)展成果以及這些想法在硬件和軟件方面的可行性研究。具體領域包括:知識和數(shù)據(jù)工程領域和領域:(a)基于知識和專家系統(tǒng)的知識和數(shù)據(jù)工程方面,(b)與知識和數(shù)據(jù)管理相關的人工智能技術,(c)知識和數(shù)據(jù)工程工具和技術,(d)分布式知識庫和數(shù)據(jù)庫處理,(e)實時知識庫和數(shù)據(jù)庫,(f)知識和基于數(shù)據(jù)系統(tǒng)的體系結構,(g)數(shù)據(jù)管理方法,(h)數(shù)據(jù)庫設計和建模,(i)查詢、設計和實現(xiàn)語言,(j)完整性、安全性和容錯性,(k)分布式數(shù)據(jù)庫控制,(l)統(tǒng)計數(shù)據(jù)庫,(m)這些系統(tǒng)的系統(tǒng)集成和建模,(n)這些系統(tǒng)的算法,(o)這些算法的性能評估,(p)這些系統(tǒng)的數(shù)據(jù)通信方面,以及(q)這些系統(tǒng)的應用。

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING英文簡介

The scope includes the knowledge and data engineering aspects of computer science, artificial intelligence, electrical engineering, computer engineering, and other appropriate fields. This Transactions provides an international and interdisciplinary forum to communicate results of new developments in knowledge and data engineering and the feasibility studies of these ideas in hardware and software. Specific areas to be covered are as follows: Fields and Areas of Knowledge and Data Engineering: (a) Knowledge and data engineering aspects of knowledge based and expert systems, (b) Artificial Intelligence techniques relating to knowledge and data management, (c) Knowledge and data engineering tools and techniques, (d) Distributed knowledge base and database processing, (e) Real-time knowledge bases and databases, (f) Architectures for knowledge and data based systems, (g) Data management methodologies, (h) Database design and modeling, (i) Query, design, and implementation languages, (j) Integrity, security, and fault tolerance, (k) Distributed database control, (l) Statistical databases, (m) System integration and modeling of these systems, (n) Algorithms for these systems, (o) Performance evaluation of these algorithms, (p) Data communications aspects of these systems, and (q) Applications of these systems.

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