Estimating data structure embedded in semi-structured data
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 |
|
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
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2014: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2013: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2012: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
|
Keywords | 知識発見とデータマイニング / グラフマイニング / 機械学習 / 生体生命情報学 / 人工知能 / ゲノム / プロテオーム |
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.
|
Report
(5 results)
Research Products
(38 results)
-
-
-
-
-
-
-
-
[Journal Article] MeSHSim: An R/Bioconductor Package for Measuring Semantic Similarity over MeSH Headings and MEDLINE Documents2015
Author(s)
Zhou, J., Shui, Y., Peng, S., Li, X., Mamitsuka, H. and Zhu, S.
-
Journal Title
Journal of Bioinformatics and Computational Biology
Volume: 13
Issue: 06
Pages: 1542002-1542002
DOI
NAID
Related Report
Peer Reviewed / Acknowledgement Compliant
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-