A perspective of spatial data mining

Shuliang Wang; Deren Li

doi:10.1117/12.651101

A perspective of spatial data mining

Shuliang Wang^*, Deren Li

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

This paper presents a perspective of spatial data mining. First, the motivation and development of spatial data mining are overviewed. Second, the intension and extension of spatial data mining concept are presented in the knowledge to be discovered, and the relationships between spatial data mining and other subjects. Third, the discovery mechanism is taken as a process of discovering a form of rules plus exceptions at hierarchal view-angles with various thresholds. Fourth, mining granularity is proposed as the measurement of data, information and knowledge. Fifth, the existing theories and techniques are briefed. Finally, the whole paper is concluded.

Original language	English
Article number	604518
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6045 I
DOIs	https://doi.org/10.1117/12.651101
Publication status	Published - 2005
Externally published	Yes
Event	MIPPR 2005: Geospatial Information, Data Mining, and Applications - Wuhan, China Duration: 31 Oct 2005 → 2 Nov 2005

Keywords

Concepts
Granularity
Principles
Spatial data mining

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10.1117/12.651101

Cite this

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title = "A perspective of spatial data mining",

abstract = "This paper presents a perspective of spatial data mining. First, the motivation and development of spatial data mining are overviewed. Second, the intension and extension of spatial data mining concept are presented in the knowledge to be discovered, and the relationships between spatial data mining and other subjects. Third, the discovery mechanism is taken as a process of discovering a form of rules plus exceptions at hierarchal view-angles with various thresholds. Fourth, mining granularity is proposed as the measurement of data, information and knowledge. Fifth, the existing theories and techniques are briefed. Finally, the whole paper is concluded.",

keywords = "Concepts, Granularity, Principles, Spatial data mining",

author = "Shuliang Wang and Deren Li",

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volume = "6045 I",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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AU - Wang, Shuliang

AU - Li, Deren

PY - 2005

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N2 - This paper presents a perspective of spatial data mining. First, the motivation and development of spatial data mining are overviewed. Second, the intension and extension of spatial data mining concept are presented in the knowledge to be discovered, and the relationships between spatial data mining and other subjects. Third, the discovery mechanism is taken as a process of discovering a form of rules plus exceptions at hierarchal view-angles with various thresholds. Fourth, mining granularity is proposed as the measurement of data, information and knowledge. Fifth, the existing theories and techniques are briefed. Finally, the whole paper is concluded.

AB - This paper presents a perspective of spatial data mining. First, the motivation and development of spatial data mining are overviewed. Second, the intension and extension of spatial data mining concept are presented in the knowledge to be discovered, and the relationships between spatial data mining and other subjects. Third, the discovery mechanism is taken as a process of discovering a form of rules plus exceptions at hierarchal view-angles with various thresholds. Fourth, mining granularity is proposed as the measurement of data, information and knowledge. Fifth, the existing theories and techniques are briefed. Finally, the whole paper is concluded.

KW - Concepts

KW - Granularity

KW - Principles

KW - Spatial data mining

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U2 - 10.1117/12.651101

DO - 10.1117/12.651101

M3 - Conference article

AN - SCOPUS:33645055398

SN - 0277-786X

VL - 6045 I

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 604518

T2 - MIPPR 2005: Geospatial Information, Data Mining, and Applications

Y2 - 31 October 2005 through 2 November 2005

ER -

A perspective of spatial data mining

Abstract

Keywords

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