Data preprocessing of spatial data mining

Hanning Yuan; Shuliang Wang

doi:10.1117/12.650728

Data preprocessing of spatial data mining

Hanning Yuan^*, Shuliang Wang

^*Corresponding author for this work

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

Abstract

Data preprocessing is essential in spatial data mining. This paper presents some issues on data preprocessing. It pays more attention on incomplete data, inaccurate data, repetitive data, inconsistent data, and image data. Finally, a case is studied, and come with a satisfactory result.

Original language	English
Article number	604514
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6045 I
DOIs	https://doi.org/10.1117/12.650728
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

Data preprocessing
Spatial data mining

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10.1117/12.650728

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@article{1a2d3cc66e5b457aa0a5b6cdb5cac6d6,

title = "Data preprocessing of spatial data mining",

abstract = "Data preprocessing is essential in spatial data mining. This paper presents some issues on data preprocessing. It pays more attention on incomplete data, inaccurate data, repetitive data, inconsistent data, and image data. Finally, a case is studied, and come with a satisfactory result.",

keywords = "Data preprocessing, Spatial data mining",

author = "Hanning Yuan and Shuliang Wang",

year = "2005",

doi = "10.1117/12.650728",

language = "English",

volume = "6045 I",

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

issn = "0277-786X",

publisher = "SPIE",

note = "MIPPR 2005: Geospatial Information, Data Mining, and Applications ; Conference date: 31-10-2005 Through 02-11-2005",

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TY - JOUR

T1 - Data preprocessing of spatial data mining

AU - Yuan, Hanning

AU - Wang, Shuliang

PY - 2005

Y1 - 2005

N2 - Data preprocessing is essential in spatial data mining. This paper presents some issues on data preprocessing. It pays more attention on incomplete data, inaccurate data, repetitive data, inconsistent data, and image data. Finally, a case is studied, and come with a satisfactory result.

AB - Data preprocessing is essential in spatial data mining. This paper presents some issues on data preprocessing. It pays more attention on incomplete data, inaccurate data, repetitive data, inconsistent data, and image data. Finally, a case is studied, and come with a satisfactory result.

KW - Data preprocessing

KW - Spatial data mining

UR - http://www.scopus.com/inward/record.url?scp=33645091639&partnerID=8YFLogxK

U2 - 10.1117/12.650728

DO - 10.1117/12.650728

M3 - Conference article

AN - SCOPUS:33645091639

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 - 604514

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

Y2 - 31 October 2005 through 2 November 2005

ER -

Data preprocessing of spatial data mining

Abstract

Keywords

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