Information Filtering of Very Large Databases by Using Skyline Queries

• Material Type: 博士論文
• Title: Information Filtering of Very Large Databases by Using Skyline Queries
• Author/Editor: Arefin, Mohammad Shamsul
• Author Heading: Arefin, Mohammad Shamsul
• Publication Date: 2013-09-25
• Publication Date (W3CDTF): 2013-09-25
• Alternative Title: 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
• Degree grantor/type: 広島大学
• Date Granted: 2013-09-25
• Date Granted (W3CDTF): 2013-09-25
• Dissertation Number: 甲第6235号
• Degree Type: 博士(工学); Engineering
• Conferring No. (Dissertation): 甲第6235号
• Text Language Code: eng
• NDC: 007
• Target Audience: 一般
• Note (General): 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.……
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• Acquisition Basis: 博士論文（自動収集）
• Available (W3CDTF): 2015-03-03
• Date Accepted (W3CDTF): 2015-02-03T05:25:05+09:00
• Format (IMT): application/pdf
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• Periodical Title (URI): http://ir.lib.hiroshima-u.ac.jp/00035136
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2018-12-03 再収集

2018-12-03 再収集