グラフマイニングを用いた化学情報解析

津田 宏治

doi:10.11545/ciqs.2013.0.S1.0

36th Symposium on Chemical Information and Computer Sciences, Tsukuba

DOI https://doi.org/10.11545/ciqs.2013.0.S1.0

Conference information

Host: Division of Chemical Information and Computer Science, The Chemical Society of Japan

Co-host: The Pharmaceutical Society of Japan, Japan Society for Bioscience, Biotechnology, and Agrochemistry, The Japan Society for Analytical Chemistry, Society of Computer Chemistry, Japan, Japanese Society for Information and Systems in Education (Approaval)

Special Lecture

Chemoinformatics based on graph mining

*Koji Tsuda

Author information

Keywords: Graph mining, Machine learning

CONFERENCE PROCEEDINGS FREE ACCESS

Pages S1

Details

Abstract

Machine learning and data mining on graph data have been common since early 2000's. Organic compounds have been used as benchmark datasets, but graph mining methods are not so common among pharmaceutical researchers. In this talk, I will address graph mining methods and their applications.

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