IEEE Transactions on Knowledge and Data Engineering

Aims & Scope

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.

Additional Information
To reflect the current trends in knowledge and data engineering research and development practice, TKDE gives priorities to submissions on the emerging topics, including but not limited to big data and applications, new frontiers of knowledge and data engineering, such as social networks, social media, and crowd sourcing. Submissions purely focusing on the topics centered in some other sister IEEE Transactions, such as core machine learning theory, pattern recognition, image processing, computer vision, neural networks, and fuzzy systems, will not be considered.

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=69 More »

Frequency: 12

Subjects

  • Computing & Processing

Contacts

Editor-in-Chief
Xuemin Lin
Database Research Group
School of Computer Science and Engineering
University of New South Wales
NSW 2052, Sydney
lxue@cse.unsw.edu.au

Associate Editor-in-Chief
Lei Chen
Dept. of Computer Science and Engineering
Hong Kong Univ. of Science and Technology
Clear Water Bay, Kowloon, Hong Kong
leichen@cse.ust.hk

TKDE Peer Review Support Specialist
IEEE Publishing Operations
445 Hoes Lane
Piscataway, NJ 08854 USA
E-mail:TKDE@computer.org

Contacts

Editor-in-Chief
Xuemin Lin
University of New South Wales

Associate Editor-in-Chief
Lei Chen
Hong Kong University of Science and Technology