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IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)

Publisher :

IEEE Computer Society

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Peer reviewed only
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Open Access
  • Data Engineering
  • Artificial Intelligence
  • electrical engineering

    • +1

e-ISSN :

1558-2191

Issue Frequency :

Monthly

p-ISSN :

1041-4347

Est. Year :

1989

Mobile :

12023710101

DOI :

YES

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

leichen@cse.ust.hk

Journal Descriptions

The scope of the IEEE Transactions on Knowledge and Data Engineering 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, (q) Applications of these systems.


IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) is :

International, Peer-Reviewed, Open Access, Refereed, Data Engineering, Artificial Intelligence, electrical engineering, computer engineering , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1041-4347, E-ISSN - 1558-2191, Established in - 1989, Impact Factor

Provide Crossref DOI

Indexed in Scopus, WoS, PubMed

Not indexed in DOAJ, UGC CARE

Indexing

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Google Scholar
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Scopus
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WoS

+7 More

Publications of IEEE TKDE

  • dott image May, 2024

Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance

Graph neural networks (GNNs) are powerful models for processing graph data and have demonstrated state-of-the-art performance on many downstream tasks. However, existing GNNs can generally s...

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