Huge amounts of data are generated every day. Collecting, cleaning, labeling, storing, indexing, and managing that data becomes essential for various knowledge-based applications. As a flagship journal of the IEEE, TKDE is a premium venue for data scientists and engineers to share their novel ideas, interesting findings, and comprehensive knowledge on managing and mining data.
Lei ChenIEEE Transactions on Knowledge and Data Engineering Editor-in-Chief
Transactions on Knowledge and Data Engineering is grateful for the contributions of its excellent reviewers. We appreciate the efforts of everyone who reviewed articles submitted to the journal last year. This helps maintain the journal's high standard of quality.
ComputingEdgeStay up to date with the latest published articles.
Since 1989, IEEE Transactions on Knowledge and Data Engineering has published peer-reviewed papers that highlight data engineering aspects of computer science. This cross-disciplinary research includes artificial intelligence, electrical engineering, and computer engineering related fields.