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IEEE Transactions on Knowledge and Data Engineering (TKDE)

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영향력 지수:
8.9
출판사:
IEEE
ISSN:
1041-4347
조회:
108629
팔로우:
178

논문 모집

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.
최종 수정: Dou Sun ()

이 항목을 본 사람들이 함께 본 항목

CCF정식 명칭영향력 지수출판사ISSN
bThe Journal of Systems Architecture: Embedded Software Design4.1Elsevier1383-7621
cFuture Generation Computer Systems6.1Elsevier0167-739X
bIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
bPattern Recognition7.6Elsevier0031-3203
bIEEE Transactions on Cybernetics10.5IEEE2168-2267

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