Visualization of structured data based on graph representation

Research Project

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.