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[First Lecture at Kyungpook National University]

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In the <b> Massive Data Computing Lab</b>, we study methodologies to manage and analyze large-scale data.

Large-scale data include social network data, AI-related data, and knowledge graph data.

We are conducting research to manage and analyze these large-scale data using various techniques.

Relevant techniques include <font color="blue">databases, big data analysis, data mining, information retrieval and machine learning/deep learning</font>. </font>

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<b>대규모 데이터 컴퓨팅 연구실</b>(Massive Data Computing Lab)에서는 대용량 데이터를 관리하고, 분석하는 방안

에 대해 연구합니다. 대용량 데이터로는 소셜 네트워크 데이터, 인공지능 관련 데이터, 지식 그래프 및 온톨로지

데이터 등이 있으며, 이러한 대용량 데이터를 효율적으로 관리/분석하기 위해, 다양한 기술을 활용하여 연구를

진행하고 있습니다. 관련 기술로는 <font color="blue">데이터베이스 기술, 빅데이터 분석 기술, 데이터 마이닝 기술, 정보 검색, 기계학습 및

딥러닝 기술</font> 등이 있습니다. </font>

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<h3> Recent News </h3>

<u>2026-07 | Minsung ('25), Ingyu ('25), Gui-Hyun ('25), and Yeonggyuo ('26) joined MC2 Lab.</u> <br>

<u>2024-03 | Chun-Hee Lee was appointed as an assistant professor in School of Computer Science and Engineering at Kyungpook National University.</u>

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School of Computer Science & Engineering, Kyungpook National University, Daegu, Republic of Korea 41566

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