書誌事項
- タイトル別名
-
- Efficient Interpretation of Large-Scale Real Data by Static Inverse Optimization
- セイテキ ギャクサイテキカ ニ ヨル ダイキボ ジツ データ ノ コウリツテキ カイシャク
この論文をさがす
抄録
We have already proposed a methodology for static inverse optimization to interpret real data from a viewpoint of optimization. In this paper we propose a method for efficiently generating constraints by divide-and-conquer to interpret large-scale data by static inverse optimization. It radically decreases computational cost of generating constraints by deleting non-Pareto optimal data from given data. To evaluate the effectiveness of the proposed method, simulation experiments using 3-D artifical data are carried out. As an application to real data, criterion functions underlying decision making of about 5, 000 tenants living along Yamanote line and Soubu-Chuo line in Tokyo are estimated, providing interpretation of rented housing data from a viewpoint of optimization.
収録刊行物
-
- 電気学会論文誌C(電子・情報・システム部門誌)
-
電気学会論文誌C(電子・情報・システム部門誌) 123 (6), 1173-1181, 2003
一般社団法人 電気学会
- Tweet
キーワード
詳細情報
-
- CRID
- 1390282679582445056
-
- NII論文ID
- 130000089807
-
- NII書誌ID
- AN10065950
-
- ISSN
- 13488155
- 03854221
-
- NDL書誌ID
- 6544862
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可