Formulation of a Multi-relational Data-mining Method by Bottom-up Approach
| Project/Area Number |
20500132
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Intelligent informatics
|
|---|
| Research Institution | Nagoya Institute of Technology |
|---|
Principal Investigator |
INUZUKA Nobuhiro Nagoya Institute of Technology, 大学院・工学研究科, 教授 (10221780)
|
|---|
| Project Period (FY) |
2008 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
|---|
| Keywords | 知識発見とデータマイニング / 論理プログラミング / 帰納学習 / 機械学習 / アルゴリズム / データマイニング / 計算論理学 / 関係データベース / 述語論理 / 人工知能 |
|---|
| Research Abstract |
This research project focused on multi-relational data-mining concerning (1) completeness of enumeration of patterns using the bottom-up approach, (2) trade-off between the completeness and efficiency of the procedure and (3) applicability in various areas, such as identification of chemical properties, drug design and analysis of language corpus. Furthermore, we also clarified differences of the approach from other methods including graph mining approach from theoretical and practical aspects.
We designed an efficient algorithm and its variations based on basic properties that we proposed and combination operations for the properties. The algorithm was implemented as a mining system and evaluated in various types of applications
|
Report
(4 results)
Research Products
(21 results)
