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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

IEEE知識(shí)與數(shù)據(jù)工程匯刊

期刊周期:Bimonthly
研究方向:工程技術(shù)
影響因子:3.857
通訊地址:IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, USA, CA, 90720-1314
官網(wǎng):http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=69
投稿地址:https://mc.manuscriptcentral.com/tkde-cs
審稿速度:一般,3-8周

  中文簡(jiǎn)介

范圍包括計(jì)算機(jī)科學(xué)、人工智能、電氣工程、計(jì)算機(jī)工程和其他適當(dāng)領(lǐng)域的知識(shí)和數(shù)據(jù)工程方面。這項(xiàng)交易提供了一個(gè)國(guó)際性和跨學(xué)科的論壇,以交流知識(shí)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(lǐng)域包括:知識(shí)和數(shù)據(jù)工程領(lǐng)域和領(lǐng)域:(a)基于知識(shí)和專家系統(tǒng)的知識(shí)和數(shù)據(jù)工程方面,(b)與知識(shí)和數(shù)據(jù)管理相關(guān)的人工智能技術(shù),(c)知識(shí)和數(shù)據(jù)工程工具和技術(shù),(d)分布式知識(shí)庫(kù)和數(shù)據(jù)庫(kù)處理,(e)實(shí)時(shí)知識(shí)庫(kù)和數(shù)據(jù)庫(kù),(f)知識(shí)和基于數(shù)據(jù)系統(tǒng)的體系結(jié)構(gòu),(g)數(shù)據(jù)管理方法,(h)數(shù)據(jù)庫(kù)設(shè)計(jì)和建模,(i)查詢、設(shè)計(jì)和實(shí)現(xiàn)語(yǔ)言,(j)完整性、安全性和容錯(cuò)性,(k)分布式數(shù)據(jù)庫(kù)控制,(l)統(tǒng)計(jì)數(shù)據(jù)庫(kù),(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(píng)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(yīng)用。

  英文簡(jiǎn)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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