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ID 35136
本文ファイル
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別タイトル
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
著者
Arefin, Mohammad Shamsul
NDC
情報科学
抄録(英)
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.……
言語
英語
NII資源タイプ
学位論文
広大資料タイプ
学位論文
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
ETD
権利情報
Copyright(c) by Author
学位記番号
甲第6235号
授与大学
広島大学(Hiroshima University)
学位名
博士(工学)
学位名の英名
Engineering
学位の種類の英名
doctoral
学位授与年月日
2013-09-25
部局名
工学研究科