[Mahito Sugiyama] Scalable Technologies for Finding Significant Patterns

Presto Researcher

Mahito Sugiyama

National Institute of Informatics, Principles of Informatics Research Division, Research Organization of Information and Systems
Associate Professor
website

Outline

The goal of this project is to discover statistically significant knowledge from big data toward a deeper understanding of phenomenons. In particular, this project develops scalable methods that find patterns from massive data with multiple testing correction, which control false positives and give only reliable patterns. This project leads to new discipline for scientific discoveries across domains such as biology.

Quick Access

Quick Access

 News

arrow On-going

arrow Completed

Program

  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-C
  • ACCEL
  • ALCA
  • RISTEX
Finish programs
  • Pamphlet
  • ProjectDB
  • GlobalActivity
  • Diversity-EN
  • OS_Policy-EN
  • Question-E