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Knowledge and Data Engineering, IEEE Transactions on
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Frequency: 12

ISSN: 1041-4347

Subject Category: Computational Intelligence

Published by:  IEEE Computer Society
                         
Visit the Website:  IEEE Transactions on Knowledge and Data Engineering

Persistent Link (OPAC):  http://ieeexplore.ieee.org/servlet/opac?punumber=69    » Learn more

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Aims and Scope

The IEEE Transactions on Knowledge and Data Engineering is an archival journal published monthly. The information published in this Transactions is 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. We are interested in well-defined theoretical results and empirical studies that have potential impact on the acquisition, management, storage, and graceful degeneration of knowledge and data, as well as in provision of knowledge and data services. Specific topics include, but are not limited to: a) artificial intelligence techniques, including speech, voice, graphics, images, and documents; b) knowledge and data engineering tools and techniques; c) parallel and distributed processing; d) real-time distributed; e) system architectures, integration, and modeling; f) database design, modeling and management; g) query design and implementation languages; h) distributed database control; j) algorithms for data and knowledge management; k) performance evaluation of algorithms and systems; l) data communications aspects; m) system applications and experience; n) knowledge-based and expert systems; and, o) integrity, security, and fault tolerance.
Contacts    
     
Editor-in-Chief
Xindong Wu 
University of Vermont
Phone: +1 802 656 7839
Email: xwu@cs.uvm.edu  
Assistant
TKDE Transactions Assistant 
IEEE Computer Society
PO Box 3014
Los Alamitos, CA, 90720-1314, USA
Email: TKDE@computer.org  


 
Knowledge and Data Engineering, IEEE Transactions on
 
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