[Yasuko Matsubara] Fast Mining and Forecasting of Complex Time-series Event Streams

PRESTO Researcher

Yasuko Matsubara

Yasuko Matsubara

Kumamoto University
Faculty of Advanced Science and Technology
Assistant professor

Outline

Time-series data analysis is becoming of increasingly high importance, thanks to the decreasing cost of hardware and the increasing on-line processing capability. This research project addresses two classes of tasks: (a) Automatic mining of big data streams: we present a novel method that automatically and statistically summarizes all the big time-series events and achieves a meaningful segmentation; (b) Real-time forecasting and decision-making supports: we develop a powerful system that provides long-range forecasts and helps people make better decisions about their social activities.

Quick Access

Program

  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-C
  • ACCEL
  • ALCA
  • RISTEX
  • AIP Network Lab
  • JST ProjectDB
  • Global Activities
  • Diversity
  • OSpolicy
  • Yuugu
  • Questions