Spatial data mining application based on ant colony algorithm and FCM for region traffic network evaluation

Wei Wang; Peng Wang; Wei Qi; Bo Zhang; Quan Wang

doi:10.1117/12.815828

Spatial data mining application based on ant colony algorithm and FCM for region traffic network evaluation

Wei Wang, Peng Wang, Wei Qi, Bo Zhang, Quan Wang

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

1 Scopus citations

Abstract

The spatial data in GIS-T database is huge and complicated, discovery knowledge from this database is very important, region traffic network evaluation is one of the important contents. In this paper the author referred to an integrated algorithm combined Ant colony algorithm with FCM to cluster the traffic data of 15 regions of Hubei Province, then used the method of maximizing deviation to arrange the clustering result. From the result we can evaluate the traffic conditions of the 15 regions.

Original language	English
Article number	72853Y
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7285
DOIs	https://doi.org/10.1117/12.815828
State	Published - 2008
Externally published	Yes
Event	International Conference on Earth Observation Data Processing and Analysis, ICEODPA - Wuhan, China Duration: 28 Dec 2008 → 30 Dec 2008

Keywords

Ant colony algorithm
FCM
Maximizing deviation
SDM
Traffic evaluation

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title = "Spatial data mining application based on ant colony algorithm and FCM for region traffic network evaluation",

abstract = "The spatial data in GIS-T database is huge and complicated, discovery knowledge from this database is very important, region traffic network evaluation is one of the important contents. In this paper the author referred to an integrated algorithm combined Ant colony algorithm with FCM to cluster the traffic data of 15 regions of Hubei Province, then used the method of maximizing deviation to arrange the clustering result. From the result we can evaluate the traffic conditions of the 15 regions.",

keywords = "Ant colony algorithm, FCM, Maximizing deviation, SDM, Traffic evaluation",

author = "Wei Wang and Peng Wang and Wei Qi and Bo Zhang and Quan Wang",

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

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note = "International Conference on Earth Observation Data Processing and Analysis, ICEODPA ; Conference date: 28-12-2008 Through 30-12-2008",

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T1 - Spatial data mining application based on ant colony algorithm and FCM for region traffic network evaluation

AU - Wang, Wei

AU - Wang, Peng

AU - Qi, Wei

AU - Zhang, Bo

AU - Wang, Quan

PY - 2008

Y1 - 2008

N2 - The spatial data in GIS-T database is huge and complicated, discovery knowledge from this database is very important, region traffic network evaluation is one of the important contents. In this paper the author referred to an integrated algorithm combined Ant colony algorithm with FCM to cluster the traffic data of 15 regions of Hubei Province, then used the method of maximizing deviation to arrange the clustering result. From the result we can evaluate the traffic conditions of the 15 regions.

AB - The spatial data in GIS-T database is huge and complicated, discovery knowledge from this database is very important, region traffic network evaluation is one of the important contents. In this paper the author referred to an integrated algorithm combined Ant colony algorithm with FCM to cluster the traffic data of 15 regions of Hubei Province, then used the method of maximizing deviation to arrange the clustering result. From the result we can evaluate the traffic conditions of the 15 regions.

KW - Ant colony algorithm

KW - FCM

KW - Maximizing deviation

KW - SDM

KW - Traffic evaluation

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U2 - 10.1117/12.815828

DO - 10.1117/12.815828

M3 - Conference article

AN - SCOPUS:60649092417

SN - 0277-786X

VL - 7285

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

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

M1 - 72853Y

T2 - International Conference on Earth Observation Data Processing and Analysis, ICEODPA

Y2 - 28 December 2008 through 30 December 2008

ER -

Spatial data mining application based on ant colony algorithm and FCM for region traffic network evaluation

Abstract

Keywords

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