This book constitutes the proceedings of the 20th International Conference on Discovery Science
DS 2017 held in Kyoto Japan in October 2017 co-located with the International Conference on
Algorithmic Learning Theory ALT 2017. The 18 revised full papers presented together with 6
short papers and 2 invited talks in this volume were carefully reviewed and selected from 42
submissions. The scope of the conference includes the development and analysis of methods for
discovering scientific knowledge coming from machine learning data mining intelligent data
analysis big data analysis as well as their application in various scientific domains. The
papers are organized in topical sections on machine learning: online learning regression
label classification deep learning feature selection recommendation system and knowledge
discovery: recommendation system community detection pattern mining misc.
