Improvement of Spatial and Temporal Co-Occurrence Pattern for Time Aggregate Graph

Article Preview

Abstract:

It is very important to build model by data mining algorithm of spatial data under large data environment using spatial and temporal co-occurrence pattern, analysis is conducted in view of existing Time Aggregate Graph spatial and temporal co-occurrence pattern, mining efficiency improvement is obtained, an improved spatial and temporal co-occurrence pattern is proposed, the improved model is verified to increase efficiency by instances.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

1352-1356

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ekkehard, kohler, katharina. Langkau, Martin, Skutella. Time-ExPanded GraPhs for Flow-DePendent Transit Times. ESA. (2002). pp.599-611.

DOI: 10.1007/3-540-45749-6_53

Google Scholar

[2] Betsy George, Shashi Shekhar. Time-Aggregated Graphs for Modeling SPatiotemPoral Networks. ER(WOrkshoPs). (2006). pp.85-99.

Google Scholar

[3] Xiaoxiang Chong, Researeh on Mining SPatiotemPoral Co-oceurrenee Patterns from Large Data Sets, (Ph.D. East China University of Science and Technology . China) (2013). pp.10-25 (In Chinese).

Google Scholar

[4] Haniseh, Stoyan. Formulars for seeond-order analysis of marked point proeess. Mathematiesehe Operationsforsehung and Statistie. (1979). pp.559-567.

Google Scholar

[5] Lotwiek, Silverman. Methords for analyzing sPatial proeesses of several types of point. Tournal of the Royal Statieal Soeiety. (1982). pp.406-413.

Google Scholar

[6] George,B., Shekhar,S. Time-aggregated Graphs for Modeling SPatio-TemPoral Networks-An Extended Abstraet. Proeeedings of WOrkshops at International Conference on Coneeptual Modeling. (2006).

Google Scholar

[7] Jianya GONG, Haiyang. Hypermap-Based Distributed Geospatial Data Model. Journal of Image and Graphics . (2002) . pp.688-692 (In Chinese).

Google Scholar