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<strong>[[Knowledge Engineering laboratory]]</strong>
 
<strong>[[Knowledge Engineering laboratory]]</strong>
  
The Knowledge Engineering Laboratory (KEL) has extensive experiences with data mining, semantic, and recommender systems.
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The Knowledge Engineering Laboratory (KEL) has extensive experiences with data mining, semantic technologies, and recommendation systems.
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Main research topics 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 KEL lab current research is on the computational processes of discovering patterns in the big data through diverse intelligent methods (e.g., artificial intelligence, machine learning, statistics, and database systems).
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Revision as of 14:38, 21 March 2020

Knowledge Engineering laboratory

The Knowledge Engineering Laboratory (KEL) has extensive experiences with data mining, semantic technologies, and recommendation systems. Main research topics 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).