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IEEE Transactions on Knowledge and Data Engineering (TKDE)

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インパクトファクター:
8.9
出版社:
IEEE
ISSN:
1041-4347
閲覧:
112000
フォロー:
178

論文募集

IEEE Transactions on Knowledge and Data Engineering (TKDE) is an academic journal published by IEEE. (ISSN 1041-4347, impact factor 8.9, CCF A).

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. 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.
最終更新：Dou Sun（）

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BThe Journal of Systems Architecture: Embedded Software Design4.1Elsevier1383-7621
CFuture Generation Computer Systems6.1Elsevier0167-739X
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AACM Transactions on Database Systems1.7ACM0362-5915
BInformation Sciences6.0Elsevier0020-0255
AIEEE Transactions on Pattern Analysis and Machine Intelligence20.8IEEE0162-8828
BPattern Recognition7.6Elsevier0031-3203

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