Computing Immutable Regions for Subspace Top-k Queries

• 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
• Institution: Singapore Management University

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...