Yasuhiko MORIMOTO

Associate Professor of Big Data Management, Data Mining and Information Retrieval
Member of the Machine Learning Research Group
Hiroshima University


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Research Interests
  • Skyline Query for Filtering “Big” data
  • Spatio-temporal Knowledge Discovery and Data mining
  • Privacy-Aware Knowledge Discovery

 

Sample Publications
  • Yasuhiko Morimoto, Hiromu Ishii, Shinichi Morishita, “Efficient Construction of Regression Trees with Range and Region Splitting,” Machine Learning, Vol. 45, No. 12, pp. 235-259, Kluwer, 2001.
  • Yasuhiko Morimoto, “Co-location Pattern Mining for Unevenly Distributed Data: Algorithm, Experiments, and Applications,” International Journal of Computational Science and Engineering, Vol. 5, No. 3/4, pp. 185-196, Inderscience Publishers, 2010.
  • Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama, “Data Mining using two-dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization,” Proceedings of the ACM SIGMOD Conference on Management of Data (SIGMOD), pp. 13-23, June, 1996.
CONTACT INFORMATION
E-mail:morimo[at]hiroshima-u.ac.jp
Tel:+81-82-424-6466
WEBSITE