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ID 35136
file
k6235_3.pdf 5.19 MB
k6235_1.pdf 76.8 KB
k6235_2.pdf 147 KB
title alternative
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
creator
Arefin, Mohammad Shamsul
NDC
Information science
abstract
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.……
language
eng
nii type
Thesis or Dissertation
HU type
Doctoral Theses
DCMI type
text
format
application/pdf
text version
ETD
rights
Copyright(c) by Author
grantid
甲第6235号
degreeGrantor
広島大学(Hiroshima University)
degreename Ja
博士(工学)
degreename En
Engineering
degreelevel
doctoral
date of granted
2013-09-25
department
Graduate School of Engineering