Estimating data structure embedded in semi-structured data

2015 Fiscal Year Final Research Report

• Project/Area Number: 24300054
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Kyoto University
• Principal Investigator: Mamitsuka Hiroshi 京都大学, 化学研究所, 教授 (00346107)
• Co-Investigator(Renkei-kenkyūsha): Takigawa Ichigaku 北海道大学, 情報科学研究科, 准教授 (10374597) ; Hancock Timothy 京都大学, 化学研究所, 助教 (80600709) ; Shiga Motoki 岐阜大学, 工学部, 助教 (20437263) ; Tsuda Koji 東京大学, 新領域創成科学研究科, 教授 (90357517) ; Kayano Mitsunori 帯広畜産大学, グローバルアグロメディシン研究センター, 講師 (20590095) ; Nguyen Canh Hao 京都大学, 化学研究所, 助教 (90626889)
• Project Period (FY): 2012-04-01 – 2016-03-31
• Keywords: 知識発見とデータマイニング

Outline of Final Research Achievements

The objective of this research is to build machine learning solutions for a variety of problems of semi-structured data, particularly graphs and networks. Particular problem focus was "label propagation" and "link prediction". We have not only built machine learning techniques but also applied our technique to real data, particularly those in life sciences.

Free Research Field

生命情報科学