| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
|---|
| Outline of Final Research Achievements |
Generation of large number of low quality and uninterpretable patterns is one of essential drawbacks in pattern mining. To alleviate this drawback, in this research, we developed a framework on learning distributed representation of frequent substructure patterns. Using the framework, we built an algorithm for specifying the characteristic patterns as well as new evaluation functions on frequent patterns and association rules.
In addition, as an application study on graph mining, we conducted the analysis of cooking recipes. We also tried to extract interpretable models for the classification of room layouts in the real estates.
|
