Visualization of structured data based on graph representation
Project/Area Number |
20700081
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Media informatics/Database
|
Research Institution | Chiba University |
Principal Investigator |
MORI Yasukuni Chiba University, 大学院・融合科学研究科, 助教 (40361414)
|
Project Period (FY) |
2008 – 2009
|
Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
Keywords | データ可視化 / パターン認識 / データマイニング / 特徴選択 / 可視化 / 機械学習 |
Research Abstract |
A methodology which extract an effective information from data with complicated structure or distribution was proposed in this study. The proposed method is based on graph-representation which express a subset of data as a node and a relationship between subsets as a edge. The proposed method was applied to some real data sets. As a result, the method can represent the characteristics of data effectively. It is expected that the learning performance or recognition rate of classification problem is improved and that we find a clue to elucidate the network structure of data with dependencies among them.
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Report
(3 results)
Research Products
(2 results)