2013 Fiscal Year Final Research Report
Development of Multidimensional Databases for Analyzing Time Interval Data in Heterogeneous Schemas
| Project/Area Number |
22680007
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (A)
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Media informatics/Database
|
|---|
| Research Institution | Kwansei Gakuin University (2012-2013)
Osaka University (2010-2011) |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2010-04-01 – 2014-03-31
|
| Keywords | 多次元データベース / OLAP / データマイニング |
|---|
| Research Abstract |
The current OLAP systems are incapable of supporting to analyze event time series with temporal intervals. In the last years, we have developed an OLAP system, called HealthCube, to interactively analyze event time series with temporal intervals such as medical data, buying history data, click stream data for Web browsing, sequences of words and so on. It is to analyze the medical data in a multidimensional manner by storing the data in tables of vertical layout and by designing OLAP operations for temporal intervals. In addition, we achieved a linear speedup by partitioning the data into multiple computers and by paralleling the operations with these computers, and we confirmed the practicality of our system to huge databases.
|
