Research on Temporal Data Similarity Search with Internal Features
| Project/Area Number |
20500104
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Media informatics/Database
|
|---|
| Research Institution | Ritsumeikan University |
|---|
Principal Investigator |
KAWAGOE Kyoji Ritsumeikan University, 情報理工学部, 教授 (40298724)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
SUZUKI Yu 名古屋大学, 情報基盤センター, 研究員 (40388111)
|
|---|
| Project Period (FY) |
2008 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Keywords | 時間データ / 時系列データ / 類似検索 / 内部特徴 / 情報検索 / マルチメディア |
|---|
| Research Abstract |
In this research, we aim to develop a new method of temporal data similarity search in order to improve performance of similar time series data search used in time series data analysis. The method we developped was introduced by internal features with which a time series data is produced. Through our research work, we realized performance improvement and some environment infrastructure to support the method.
|
Report
(4 results)
Research Products
(46 results)
