Information Filtering of Very Large Databases by Using Skyline Queries

• 資料種別: 博士論文
• タイトル: Information Filtering of Very Large Databases by Using Skyline Queries
• 著者・編者: Arefin, Mohammad Shamsul
• 著者標目: Arefin, Mohammad Shamsul
• 並列タイトル等: スカイライン問合わせを利用した大規模データベースの情報選別
• 授与機関名: 広島大学(Hiroshima University)
• 授与年月日: 2013-09-25
• 報告番号: 甲第6235号
• 学位: 博士(工学)
• 本文の言語コード: eng
• NDC: 007
• 対象利用者: 一般
• 一般注記: type:text; Conventional SQL queries take exact input and produce complete result set. However, with massive increase in data volume in different applications, the large result sets returned by traditional SQL queries are not well suited for the users to take effective decisions. Therefore, there is an increasing interest in queries like top-k queries and skyline queries those produce a more concise result set. Top-k queries rely on the scores of the objects to evaluate the usefulness of the objects. In this type of queries, users require to define their own scoring function by combining their interests. Based on the user defined scoring function, the system sorts the objects by their scores and outputs the top-k objects in the ranking list as the result. However, defining a scoring function by the users is a major draw of the top-k queries as in the large data sets where there are many conflicting criteria exist, it is very difficult for the users to define the scoring functions by themselves.……
• 記録形式（IMT）: application/pdf
• 一次資料へのリンクURL: fulltext; http://ir.lib.hiroshima-u.ac.jp/files/public/3/35136/20141016204232417254/k6235_3.pdf; http://ir.lib.hiroshima-u.ac.jp/files/public/3/35136/20181114101937842528/k6235_1.pdf; http://ir.lib.hiroshima-u.ac.jp/files/public/3/35136/20181114101938688481/k6235_2.pdf
• オンライン閲覧公開範囲: インターネット公開
• 著作権情報: Copyright(c) by Author
• 連携機関・データベース: 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• 提供元機関・データベース: 広島大学 : 広島大学学術情報リポジトリ