[Ryota Kobayashi] Towards automatic analysis for event time series

Researcher

Ryota Kobayashi

Ryota Kobayashi

Research Organization of Information and Systems
National Institute of Informatics
Assistant Professor

Website

Outline

Though the demand for utilizing the time series data is growing, time series analysis has not been widespread due to the difficulty in developing a time series model. The experts have to construct a “good” time series model, because the performance critically depends on the model. In this project, we focus on the event time series that is the time stamp of event occurrence, and we develop a machine-learning framework that can analyze the event time series in an automatic way.

Program

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