A Web-Based Visual Spatial Co-Location Patterns' Mining Prototype System (SCPMiner)

Lizhen Wang; Yuzhen Bao; Joan Lu; Jim Yip

doi:10.1109/CW.2008.84

A Web-Based Visual Spatial Co-Location Patterns' Mining Prototype System (SCPMiner)

Lizhen Wang, Yuzhen Bao, Joan Lu, Jim Yip

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Visual spatial data mining is an effective way to discover knowledge from huge amounts of spatial data. The systematic study and development of visual spatial data mining techniques will facilitate the promotion and use of spatial data mining as a tool for spatial data analysis. This paper introduces a web-based visual spatial co-location patterns' mining prototype system (SCPMiner). In SCPMiner, there not only are data management function and four co-location mining methods, but also co-location mining methods analysis and co-location mining applications.

Original language	English
Title of host publication	2008 International Conference on Cyberworlds, CW 2008, Proceedings
Publisher	IEEE Computer Society
Pages	675-681
Number of pages	7
ISBN (Print)	9780769533810
DOIs	https://doi.org/10.1109/CW.2008.84
Publication status	Published - 24 Sep 2008
Event	2008 International Conference on Cyberworlds - Hangzhou, China Duration: 22 Sep 2008 → 24 Sep 2008

Conference

Conference	2008 International Conference on Cyberworlds
Abbreviated title	CW 2008
Country/Territory	China
City	Hangzhou
Period	22/09/08 → 24/09/08

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10.1109/CW.2008.84Licence: Unspecified

Cite this

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title = "A Web-Based Visual Spatial Co-Location Patterns' Mining Prototype System (SCPMiner)",

abstract = "Visual spatial data mining is an effective way to discover knowledge from huge amounts of spatial data. The systematic study and development of visual spatial data mining techniques will facilitate the promotion and use of spatial data mining as a tool for spatial data analysis. This paper introduces a web-based visual spatial co-location patterns' mining prototype system (SCPMiner). In SCPMiner, there not only are data management function and four co-location mining methods, but also co-location mining methods analysis and co-location mining applications.",

keywords = "Spatial co-location mining, prototype system, visualization, SCPMiner, prototypes, data mining, data analysis, data engineering, design engineering, Knowledge engineering, data vizualization, user interfaces, information analysis, computer science",

author = "Lizhen Wang and Yuzhen Bao and Joan Lu and Jim Yip",

year = "2008",

month = sep,

day = "24",

doi = "10.1109/CW.2008.84",

language = "English",

isbn = "9780769533810",

pages = "675--681",

booktitle = "2008 International Conference on Cyberworlds, CW 2008, Proceedings",

publisher = "IEEE Computer Society",

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note = "2008 International Conference on Cyberworlds, CW 2008 ; Conference date: 22-09-2008 Through 24-09-2008",

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T1 - A Web-Based Visual Spatial Co-Location Patterns' Mining Prototype System (SCPMiner)

AU - Wang, Lizhen

AU - Bao, Yuzhen

AU - Lu, Joan

AU - Yip, Jim

PY - 2008/9/24

Y1 - 2008/9/24

N2 - Visual spatial data mining is an effective way to discover knowledge from huge amounts of spatial data. The systematic study and development of visual spatial data mining techniques will facilitate the promotion and use of spatial data mining as a tool for spatial data analysis. This paper introduces a web-based visual spatial co-location patterns' mining prototype system (SCPMiner). In SCPMiner, there not only are data management function and four co-location mining methods, but also co-location mining methods analysis and co-location mining applications.

AB - Visual spatial data mining is an effective way to discover knowledge from huge amounts of spatial data. The systematic study and development of visual spatial data mining techniques will facilitate the promotion and use of spatial data mining as a tool for spatial data analysis. This paper introduces a web-based visual spatial co-location patterns' mining prototype system (SCPMiner). In SCPMiner, there not only are data management function and four co-location mining methods, but also co-location mining methods analysis and co-location mining applications.

KW - Spatial co-location mining

KW - prototype system

KW - visualization

KW - SCPMiner

KW - prototypes

KW - data mining

KW - data analysis

KW - data engineering

KW - design engineering

KW - Knowledge engineering

KW - data vizualization

KW - user interfaces

KW - information analysis

KW - computer science

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U2 - 10.1109/CW.2008.84

DO - 10.1109/CW.2008.84

M3 - Conference contribution

AN - SCOPUS:62949109299

SN - 9780769533810

SP - 675

EP - 681

BT - 2008 International Conference on Cyberworlds, CW 2008, Proceedings

PB - IEEE Computer Society

T2 - 2008 International Conference on Cyberworlds

Y2 - 22 September 2008 through 24 September 2008

ER -

A Web-Based Visual Spatial Co-Location Patterns' Mining Prototype System (SCPMiner)

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