Recommendation Support for Multi-Attribute Databases

This dissertation studies the subject of providing recommendation support for multi-attribute databases. Recommendation is an important and very useful information evaluation mechanism that explores a database of huge volume, and retrieves from it the interesting data items (tuples) for users based...

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Main Author: ZHANG, Jilian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/etd_coll/106
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1105&context=etd_coll
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.etd_coll-11052015-08-27T08:15:05Z Recommendation Support for Multi-Attribute Databases ZHANG, Jilian This dissertation studies the subject of providing recommendation support for multi-attribute databases. Recommendation is an important and very useful information evaluation mechanism that explores a database of huge volume, and retrieves from it the interesting data items (tuples) for users based on their preferences. 2014-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/etd_coll/106 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1105&context=etd_coll http://creativecommons.org/licenses/by-nc-nd/4.0/ Dissertations and Theses Collection (Open Access) eng Institutional Knowledge at Singapore Management University recommendation support data management direct neighbor search immutable region sensitivity analysis balanced bucketization Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic recommendation support
data management
direct neighbor search
immutable region
sensitivity analysis
balanced bucketization
Databases and Information Systems
spellingShingle recommendation support
data management
direct neighbor search
immutable region
sensitivity analysis
balanced bucketization
Databases and Information Systems
ZHANG, Jilian
Recommendation Support for Multi-Attribute Databases
description This dissertation studies the subject of providing recommendation support for multi-attribute databases. Recommendation is an important and very useful information evaluation mechanism that explores a database of huge volume, and retrieves from it the interesting data items (tuples) for users based on their preferences.
format text
author ZHANG, Jilian
author_facet ZHANG, Jilian
author_sort ZHANG, Jilian
title Recommendation Support for Multi-Attribute Databases
title_short Recommendation Support for Multi-Attribute Databases
title_full Recommendation Support for Multi-Attribute Databases
title_fullStr Recommendation Support for Multi-Attribute Databases
title_full_unstemmed Recommendation Support for Multi-Attribute Databases
title_sort recommendation support for multi-attribute databases
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/etd_coll/106
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1105&context=etd_coll
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