Research Groups

데이타마이닝 및 데이터베이스 연구실

Knowledge Discovery and Database Research Lab.

Prof. : Prof. Shim, Kyuseok

Research Area : 컴퓨터 및 VLSI 시스템

  • About the Laboratory & Research Area
  • Welcome to the website of Knowledge Discovery & Data Mining Research Laboratory, which is located on the 5th floor of the 2nd New Engineering Building of Seoul National University. Our laboratory conducts researches addressing advanced database issues, such as Knowledge Discovery, Data Mining, and Semi-Structured Data(XML). If you would like further information regarding our lab, please feel free to contact us by phone or email.
  • Research Interests & Projects
  • - Data Mining and Knowledge Discovery
    - MapReduce Algorithms for Big Data Analysis
    - XML and Semi-structured Data
    - Internet Stream Data
    - Cloud Computing
    - Query Processing and Optimization
    - Data Warehousing and OLAP
    - Privacy
    - Sensor Network
  • Journals & Patents
  • [1] Hongrae Lee, Raymond T. Ng, and Kyuseok Shim, "Similarity Join Size Estimation using Locality Sensitive Hashing" the 37th International Conference on VLDB, Mar. 2011.
    [2] Chulyun Kim, and Kyuseok Shim, "TEXT: Automatic Template Extraction from Heterogeneous Web Pages", IEEE Transactions on Knowledge and Data Engineering Journal, 2011
    [3] Hyoungmin Park, and Kyuseok Shim, "Approximate algorithms with generalizing attribute values for k-anonymity", Information Systems Journal, 2010
    [4] Younghoon Kim, Kyounggu Woo, Hyoungmin Park, and Kyuseok Shim, "Efficient processing of substring match queries with inverted q-gram indexes", the 26th International Conference on IEEE Data Engineering, 2010
    [5] Hongrae Lee, Raymond T. Ng, and Kyuseok Shim, "Power-Law Based Estimation of Set Similarity Join Size", the 35th International Conference on VLDB, 2009
    [6] Hyoungmin Park, and Kyuseok Shim, "FAST: Flash-Aware External Sorting for Mobile Database Systems", The Journal of Systems and Software, 2009
    [7] Hongrae Lee, Raymond T. Ng, and Kyuseok Shim, "Approximate Substring Selectivity Estimation", the 12th International Conference on Extending Database Technology, 2009