Data & Knowledge Engineering
Academic journal / From Wikipedia, the free encyclopedia
Data & Knowledge Engineering is a monthly peer-reviewed academic journal in the area of database systems and knowledge base systems. It is published by Elsevier and was established in 1985. The editor-in-chief is P.P. Chen (Louisiana State University).
Quick Facts Discipline, Language ...
Discipline | Computer science |
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Language | English |
Edited by | P.P. Chen |
Publication details | |
History | 1985–present |
Publisher | |
Frequency | Monthly |
1.992 (2020) | |
Standard abbreviations ISO 4 (alt) · Bluebook (alt1 · alt2) NLM (alt) · MathSciNet (alt ) | |
ISO 4 | Data Knowl. Eng. |
Indexing CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt) MIAR · NLM (alt) · Scopus | |
CODEN | DKENEW |
ISSN | 0169-023X (print) 1872-6933 (web) |
LCCN | 90649274 |
OCLC no. | 630595125 |
Links | |
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