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<strong>[[Knowledge Engineering laboratory]]</strong>
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<strong>[[KNOWLEDGE ENGINEERING LABORATORY (KEL)]]</strong>
  
The Knowledge Engineering Laboratory (KEL) has extensive experiences with data mining, semantic technologies, and recommendation systems.
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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).  
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).
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'''KEL''' is in the Department of Computer Science and Engineering at Chung-Ang University [http://www.cau.ac.kr] in Korea.
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* Director: Prof. Jason J. Jung (j2jung@gmail.com)
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* Twitter: [https://twitter.com/j2jung j2jung]
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* FaceBook: [https://www.facebook.com/jason.j.jung jason.j.jung]
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* YouTube: [https://www.youtube.com/channel/UC0tiXX6HYHfz3GV3fz3Issw KEL at CAU]
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* KEL Research Project Portal [http://recsys.cau.ac.kr:8084/]

Revision as of 13:05, 2 September 2020

KNOWLEDGE ENGINEERING LABORATORY (KEL)

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).

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