IEEE Transactions on Knowledge and Data Engineering

The IEEE Transactions on Knowledge and Data Engineering encompasses knowledge and data engineering aspects within computer science, artificial intelligence, electrical engineering, computer engineering, and related fields. It provides an interdisciplinary platform for disseminating new developments in knowledge and data engineering and explores the practicality of these concepts in both hardware and software. Specific areas covered include knowledge-based and expert systems, AI techniques for knowledge and data management, tools, and methodologies, distributed processing, real-time systems, architectures, data management practices, database design, query languages, security, fault tolerance, statistical databases, algorithms, performance evaluation, and applications.

《IEEE知识与数据工程汇刊》涵盖了计算机科学、人工智能、电子工程、计算机工程及相关领域的知识与数据工程方面的内容。它为传播知识与数据工程领域的新发展提供了一个跨学科平台，并探索这些概念在硬件和软件中的实用性。 《IEEE知识与数据工程汇刊》涉及的具体领域包括基于知识的系统和专家系统、用于知识和数据管理的人工智能技术、工具和方法、分布式处理、实时系统、体系结构、数据管理实践、数据库设计、查询语言、安全性、容错、统计数据库、算法、性能评估和应用。 《IEEE知识与数据工程汇刊》已入选SCI、SCIE来源期刊。