Algorithms and computational-architectures for change detections in large-scale data
| Project/Area Number |
20800019
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (Start-up)
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Tokyo Institute of Technology |
|---|
Principal Investigator |
KAWAHARA Yoshinobu Tokyo Institute of Technology, 産業科学研究所, 助教 (00514796)
|
|---|
| Project Period (FY) |
2008 – 2009
|
| Project Status |
Completed (Fiscal Year 2009)
|
| Budget Amount *help |
¥3,237,000 (Direct Cost: ¥2,490,000、Indirect Cost: ¥747,000)
Fiscal Year 2009: ¥1,534,000 (Direct Cost: ¥1,180,000、Indirect Cost: ¥354,000)
Fiscal Year 2008: ¥1,703,000 (Direct Cost: ¥1,310,000、Indirect Cost: ¥393,000)
|
|---|
| Keywords | システム工学 / 機械学習 / データマイニング |
|---|
| Research Abstract |
In this research, we study the change detection problem, i.e., the problem of detecting systematic changes in data generating processes only from observed time-series data. Especially, we develop efficient algorithms that explicitly take the scale of data into consideration. To this end, we developed an algorithm based on recently proposed density-ratio estimation techniques. And, we derived an online implementation of this algorithm, which make the change detection algorithm much more efficient. Since change detection is a technology well suited for applications including fault diagnosis in engineering systems, our results would be significant also as a fundamental technology for such applications.
|
Report
(3 results)
Research Products
(24 results)
