Computing Immutable Regions for Subspace Top-k Queries

Computing Immutable Regions for Subspace Top-k Queries

Given a high-dimensional dataset, a top-k query can be used to shortlist the k tuples that best match the user’s preferences. Typically, these preferences regard a subset of the available dimensions (i.e., attributes) whose relative significance is expressed by user-specified weights. Along with the...

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Bibliographic Details
Main Authors: MOURATIDIS, Kyriakos, PANG, Hwee Hwa
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
Subjects:
Corresponding weights
Different domains
High dimensional data
High-dimensional dataset
Preference functions
Pruning techniques
Resource-efficient
User's preferences
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/1624
https://ink.library.smu.edu.sg/context/sis_research/article/2623/viewcontent/p73_mouratidis_pv.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/1624
https://ink.library.smu.edu.sg/context/sis_research/article/2623/viewcontent/p73_mouratidis_pv.pdf

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