Scope of TKDE

IEEE Transactions on Knowledge and Data Engineering (TKDE) is an archival journal published monthly. The information published in this journal 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. We welcome treatments of the role of knowledge and data in the development and use of information systems and in the simplification of software and hardware development and maintenance. Since the journal is archival, it is assumed that the ideas presented are important, have been well analyzed or empirically validated, and are of value to the knowledge and data engineering research community. Specific topics include, but are not limited to: (a) knowledge discovery and data mining, (b) data modeling and management, (c) underlying computational platforms for knowledge and data engineering tools, techniques and systems, and (d) emerging knowledge and data engineering applications. View the topics included within the scope of TKDE

IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347

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Editorial Board

Editor-in-Chief

Jian Pei - Simon Fraser University

Associate Editors

Ashraf Aboulnaga - University of Waterloo

Deepak Agarwal - Yahoo! Research

Divyakant Agrawal - University of California at Santa Barbara

Shivnath Babu - Duke University

James Bailey - University of Melbourne

Christian Bohm - Ludwig-Maximilians-Universitat Munchen

Francesco Bonchi - Yahoo! Research

Kaushik Chakrabarti - Microsoft Research

Kevin C. Chang - University of Illinois at Urbana-Champaign

Sanjay Chawla - The University of Sydney

Lei Chen - Hong Kong University of Science and Technology

Panos K. Chrysanthis - University of Pittsburg

Brian Cooper - Google

Graham Cormode - AT&T Shannon Laboratories

Gautam Das - University of Texas at Arlington

Ian Davidson - University of California - Davis

Elena Ferrari - University of Insubria

Juliana Freire - University of Utah

Aristides Gionis - Aalto University

Bart Goethals - University of Antwerp

Wook-Shin Han - Kyungpook National University

Xiaofei He - Zhejiang University

Panos Ipeirotis - New York University

Zachary G. Ives - University of Pennsylvania

Ruoming Jin - Kent University

Panos Kalnis - King Abdulla University of Science & Technology (KAUST)

George Karypis - University of Minnesota

Latifur R. Khan - University of Texas at Dallas

Hiroyuki Kitagawa - University of Tsukuba

Xuemin Lin - University of New South Wales

Nikos Mamoulis - Univeristy of Hong Kong

Gerome Miklau - University of Massachusetts

Dan Olteanu - University of Oxford

Evaggelia Pitoura - University of Ioannina

Naren Ramakrishnan - Virginia Tech

Joerg Sander - University of Alberta

Heng Tao Shen - The University of Queensland

S. Sudarshan - Indian Institute of Technology

Yufei Tao - Chinese University of Hong Kong

Vincent Shin-Mu Tseng - National Cheng Kung University

Anthony Tung - National University of Singapore

Haixun Wang - Microsoft Research Asia

Jianyong Wang - Tsinghua University

Hui Xiong - Rutgers, The State University of New Jersey

Ge Yu - Northeastern University of China

Hongyuan Zha - Georgia Institute of Technology

Aidong Zhang - University of NY at Buffalo