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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

来源: 树人论文网 浏览次数:218次
周期:Bimonthly
ISSN:1041-4347
影响因子:3.857
是否开源:No
年文章量:196
录用比:较易
学科方向:计算机:人工智能
研究方向:工程技术
通讯地址:IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, USA, CA, 90720-1314
官网地址:http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=69
投稿地址:https://mc.manuscriptcentral.com/tkde-cs
网友分享经验:一般,3-8周

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING杂志中文介绍

范围包括计算机科学、人工智能、电气工程、计算机工程和其他适当领域的知识和数据工程方面。这项交易提供了一个国际性和跨学科的论坛,以交流知识和数据工程的新发展成果以及这些想法在硬件和软件方面的可行性研究。具体领域包括:知识和数据工程领域和领域:(a)基于知识和专家系统的知识和数据工程方面,(b)与知识和数据管理相关的人工智能技术,(c)知识和数据工程工具和技术,(d)分布式知识库和数据库处理,(e)实时知识库和数据库,(f)知识和基于数据系统的体系结构,(g)数据管理方法,(h)数据库设计和建模,(i)查询、设计和实现语言,(j)完整性、安全性和容错性,(k)分布式数据库控制,(l)统计数据库,(m)这些系统的系统集成和建模,(n)这些系统的算法,(o)这些算法的性能评估,(p)这些系统的数据通信方面,以及(q)这些系统的应用。

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING杂志英文介绍

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.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING影响因子

计算机:人工智能领域相关期刊