Abstract
This paper discusses retrieval of a massive amount of sensor data using an indexing mechanism called I-Tree. Based on a dimensionality reduction technique for time-series data, we introduce a symbolic extensible representation of spatial time series data, and use a relevant tree structure to manage spatial time series data efficiently. I-Tree facilitates analysis and detection of environmental phenomena using heterogeneous sensor data from multiple locations.
| Translated title of the contribution | I-Tree: Supporting Spatial Time-Series Queries for Heterogeneous Sensor Data |
|---|---|
| Original language | Japanese |
| Pages (from-to) | 33-38 |
| Number of pages | 6 |
| Journal | IEICE technical report |
| Volume | 110 |
| Issue number | 107 |
| Publication status | Published - Jun 21 2010 |