Call for Papers: IEEE Transactions on Knowledge and Data Engineering

IEEE Transactions on Knowledge and Data Engineering seeks submissions for upcoming issues.

About IEEE Transactions on Knowledge and Data Engineering TKDE is an archival journal published monthly designed to inform researchers, developers, managers, strategic planners, users, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area.

Scope of Interest

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. To reflect the current trends in knowledge and data engineering research and development practice, TKDE gives priority to submissions on emerging topics, including but not limited to big data and applications, and new frontiers of knowledge and data engineering, such as social networks, social media, and crowd sourcing. Submissions purely focusing on 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. Topics of interest include, but are not limited to, the following: Fields and Areas of Knowledge and Data Engineering:

Knowledge and data engineering aspects of knowledge based and expert systems
Artificial Intelligence techniques relating to knowledge and data management
Knowledge and data engineering tools and techniques
Distributed knowledge base and database processing
Real-time knowledge bases and databases
Architectures for knowledge and data based systems
Data management methodologies
Database design and modeling
Query, design, and implementation languages
Integrity, security, and fault tolerance
Distributed database control
Statistical databases
System integration and modeling of these systems
Algorithms for these systems
Performance evaluation of these algorithms
Data communications aspects of these systems
Applications of these systems.

Submission Instructions:

This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. For author information and guidelines on submission criteria, please visit the TKDE Information and Submission Guidelines page on IEEE Transactions on Knowledge and Data Engineering. In addition to submitting your paper to TDKE, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. TKDE now offers authors access to Code Ocean. Code Ocean is a cloud-based executable research platform that allows authors to share their algorithms in an effort to make the world’s scientific code more open and reproducible. Sign up for free.

Questions?

Contact: Editorial board and staff