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<strong>[[Knowledge Engineering Laboratory]]</strong>
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<strong>[[KNOWLEDGE ENGINEERING LABORATORY]]</strong>
  
 
The Knowledge Engineering Laboratory (KEL) has extensive experience with data mining, semantic technologies, and recommendation systems. The main research topic is on the computational processes of discovering meaningful patterns from various domains through intelligent methods (e.g., artificial intelligence, machine learning, statistics, and database systems).  
 
The Knowledge Engineering Laboratory (KEL) has extensive experience with data mining, semantic technologies, and recommendation systems. The main research topic is on the computational processes of discovering meaningful patterns from various domains through intelligent methods (e.g., artificial intelligence, machine learning, statistics, and database systems).  

Revision as of 12:04, 2 September 2020

KNOWLEDGE ENGINEERING LABORATORY

The Knowledge Engineering Laboratory (KEL) has extensive experience with data mining, semantic technologies, and recommendation systems. The main research topic is on the computational processes of discovering meaningful patterns from various domains through intelligent methods (e.g., artificial intelligence, machine learning, statistics, and database systems).

Knowledge Engineering Laboratory (KEL) is in the Department of Computer Science and Engineering at Chung-Ang University [1] in Korea.