Research on Adaptive Mobile Map Based on Spatiotemporal Data Mining

Zhen Yang; Feng Ju; Bin Shao

doi:10.4028/www.scientific.net/AMR.532-533.1130

Paper Titles

Design of SoC Verification System Based on Multi-FPGA
p.1110

Parallel Performance of MPI Based Parallel FDTD on NUMA Architecture Workstation
p.1115

Based on Convolution Algorithm Single Crystal Finite Element Analysis
p.1120

Study on Adaptive QoS Solution of Real-Time Video Stream in Wireless Network
p.1124

Research on Adaptive Mobile Map Based on Spatiotemporal Data Mining
p.1130

The Research of LDPC Code in Communication System
p.1135

Fine-Grained Access Control Technology in the Data-Centric Business Process Model
p.1140

Road Conditions Test in Virtual Driving System Based on Cohen-Sutherland Algorithm
p.1147

The Redevelopment of Matrox Meteor-II/Digital Image Grabbing Board with VC++
p.1152

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 532-533Research on Adaptive Mobile Map Based on...

Research on Adaptive Mobile Map Based on Spatiotemporal Data Mining

Abstract:

In order to solve the problems of obtaining users’ individual demand in the current field of adaptive mobile map service, this paper proposes solutions of adaptive mobile map based on spatiotemporal data mining and architecture; and discusses several key technologies. The study of adaptive mobile map based on spatiotemporal data mining can improve adaptive mobile map service, and implement obtain efficiently useful information from a massive data to meet the diverse needs of different users.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 532-533)

Pages:

1130-1134

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.532-533.1130

Citation:

Cite this paper

Online since:

June 2012

Authors:

Zhen Yang, Feng Ju, Bin Shao

Keywords:

Adaptive, Location Based Service (LBS), Mobile Map, Spatiotemporal Data Mining

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Yuan Zhide: Spatial Information Industry Status and Trends (Science Press, China 2004).

Google Scholar

[2] Reichenbacher T: Journal of Geographical Sciences Vol. 11(2001), pp.43-53.

Google Scholar

[3] Harvey J. Miller, Jiawei Han: Geographic data mining and knowledge discovery (CRC Press, USA 2009).

Google Scholar

[4] Li Deren, Wang Shuliang, Li Deyi, etc.: Geomatics and Information Science of WuHan University Vol. 27(2002), pp.221-233.

Google Scholar

[5] Wang Liming, Xia Qingguo, Zhang Yongfeng, etc.: Computer Engineering and Science Vol. 31(2009), pp.131-134.

Google Scholar

[6] Yan Chaode, Zhao Renliang, Chen Jun: Geography and Geo-Information Science Vol. 22(2006), pp.42-45.

Google Scholar

[7] Zhao Binbin, Li Guangqiang, Deng Min: Science of Surveying and Mapping Vol. 35(2010), pp.62-65.

Google Scholar

[8] Yang Bisheng, Sun Li: Geomatics and Information Science of Wuhan University Vol. 33(2008), pp.363-366.

Google Scholar