抄録
In order to detect the capability deterioration of economic activity for elderly people at age of sixty-five or over, we have used an anonymous data obtained from the National Survey of Family Income and Expenditure (NSFIE) carried out by Ministry of Internal Affairs and Communications (MIAC). We develop a method to detect dissaving risk of elderly people. So far the analysis data were divided into test data and training data. Then three kinds of methods were performed in terms of income and savings. Two-step methods were taken to determine dissaving risk. In using anonymous data, however, there is controversy if anonymity is secured. In order to strengthen the anonymity of the data, in this paper, random data is generated with using the anonymous data and then compared with the case of analyzing anonymous data as it is, with a view to performance evaluation. As a result of analysis, it could be concluded that using the random data would be as effective as using anonymous data for evaluating the performance of the proposed method.
| 本文言語 | 英語 |
|---|---|
| ホスト出版物のタイトル | Proceedings - 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019 |
| 編集者 | Masahide Nakamura, Hiroaki Hirata, Takayuki Ito, Takanobu Otsuka, Shun Okuhara |
| 出版社 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 274-279 |
| ページ数 | 6 |
| ISBN(電子版) | 9781728116518 |
| DOI | |
| 出版ステータス | 出版済み - 07-2019 |
| 外部発表 | はい |
| イベント | 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019 - Toyama, 日本 継続期間: 08-07-2019 → 11-07-2019 |
出版物シリーズ
| 名前 | Proceedings - 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019 |
|---|
会議
| 会議 | 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019 |
|---|---|
| 国/地域 | 日本 |
| City | Toyama |
| Period | 08-07-19 → 11-07-19 |
UN SDG
この成果は、次の持続可能な開発目標に貢献しています
-
SDG 3 すべての人に健康と福祉を
All Science Journal Classification (ASJC) codes
- 人工知能
- コンピュータ ネットワークおよび通信
- コンピュータ ビジョンおよびパターン認識
- ハードウェアとアーキテクチャ
- ソフトウェア
- 情報システムおよび情報管理
フィンガープリント
「Assessment of Dissaving Risk against Life Expectancy for Elderly People through Anonymous Data and Random Data」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。引用スタイル
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver