Top-k spatial preference queries

Man Lung Yiu; Xiangyuan Dai; Nikos Mamoulis; Michail Vaitis

doi:10.1109/ICDE.2007.368966

Top-k spatial preference queries

Man Lung Yiu, Xiangyuan Dai, Nikos Mamoulis, Michail Vaitis

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

77 Citations (Scopus)

Abstract

A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, consider a real estate agency office that holds a database with available flats for lease. A customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e.g., restaurants, cafes, hospital, market, etc.) within a distance range from them. In this paper, we formally define spatial preference queries and propose appropriate indexing techniques and search algorithms for them. Our methods are experimentally evaluated for a wide range of problem settings.

Original language	English
Title of host publication	23rd International Conference on Data Engineering, ICDE 2007
Pages	1076-1085
Number of pages	10
DOIs	https://doi.org/10.1109/ICDE.2007.368966
Publication status	Published - 24 Sept 2007
Externally published	Yes
Event	23rd International Conference on Data Engineering, ICDE 2007 - Istanbul, Turkey Duration: 15 Apr 2007 → 20 Apr 2007

Conference

Conference	23rd International Conference on Data Engineering, ICDE 2007
Country/Territory	Turkey
City	Istanbul
Period	15/04/07 → 20/04/07

ASJC Scopus subject areas

Software
Signal Processing
Information Systems

More information

10.1109/ICDE.2007.368966

Cite this

@inproceedings{fabe2ffb9f1d47349ace771a7395cc6b,

title = "Top-k spatial preference queries",

abstract = "A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, consider a real estate agency office that holds a database with available flats for lease. A customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e.g., restaurants, cafes, hospital, market, etc.) within a distance range from them. In this paper, we formally define spatial preference queries and propose appropriate indexing techniques and search algorithms for them. Our methods are experimentally evaluated for a wide range of problem settings.",

author = "Yiu, {Man Lung} and Xiangyuan Dai and Nikos Mamoulis and Michail Vaitis",

year = "2007",

month = sep,

day = "24",

doi = "10.1109/ICDE.2007.368966",

language = "English",

isbn = "1424408032",

pages = "1076--1085",

booktitle = "23rd International Conference on Data Engineering, ICDE 2007",

note = "23rd International Conference on Data Engineering, ICDE 2007 ; Conference date: 15-04-2007 Through 20-04-2007",

}

TY - GEN

T1 - Top-k spatial preference queries

AU - Yiu, Man Lung

AU - Dai, Xiangyuan

AU - Mamoulis, Nikos

AU - Vaitis, Michail

PY - 2007/9/24

Y1 - 2007/9/24

N2 - A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, consider a real estate agency office that holds a database with available flats for lease. A customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e.g., restaurants, cafes, hospital, market, etc.) within a distance range from them. In this paper, we formally define spatial preference queries and propose appropriate indexing techniques and search algorithms for them. Our methods are experimentally evaluated for a wide range of problem settings.

AB - A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, consider a real estate agency office that holds a database with available flats for lease. A customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e.g., restaurants, cafes, hospital, market, etc.) within a distance range from them. In this paper, we formally define spatial preference queries and propose appropriate indexing techniques and search algorithms for them. Our methods are experimentally evaluated for a wide range of problem settings.

UR - http://www.scopus.com/inward/record.url?scp=34548771719&partnerID=8YFLogxK

U2 - 10.1109/ICDE.2007.368966

DO - 10.1109/ICDE.2007.368966

M3 - Conference article published in proceeding or book

SN - 1424408032

SN - 9781424408030

SP - 1076

EP - 1085

BT - 23rd International Conference on Data Engineering, ICDE 2007

T2 - 23rd International Conference on Data Engineering, ICDE 2007

Y2 - 15 April 2007 through 20 April 2007

ER -

Top-k spatial preference queries

Abstract

Conference

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this