TDMA'11 workshop overview
Authors: 
Feng Lu, 
Xing Xie, Shih-Lung ShawAuthors Info & Claims
Feng Lu, Xing Xie, Shih-Lung ShawAuthors Info & ClaimsPages 635 - 636
Abstract
No abstract available.
References
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Chen, J., Shaw, S.-L., Yu, H.-B., Lu, F., Chai, Y.-W., Jia, Q.-L., 2011. Exploratory data analysis of activity diary data: a space-time GIS approach. Journal of Transport Geography, 19(3): 394--404.
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Chen, J.-D., Lai, C.-F., Meng, X.-F., Xu, J.-L., Hu, H.-B., 2007. Clustering Moving Objects in Spatial Networks. ADVANCES IN DATABASES: CONCEPTS, SYSTEMS AND APPLICATIONS Lecture Notes in Computer Science, 4443: 611--623.
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Giannotti, F., Nanni, M., Pinelli, F., Pedreschi, D., 2007. Trajectory pattern mining. Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM New York, NY, USA. 2007.
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Gidófalvi, G., Pedersen, T.B., 2009. Mining Long, Sharable Patterns in Trajectories of Moving Objects. GEOINFORMATICA, 13:27--55.
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González, M. C., Hidalgo, C. A., Barabási, A.-L., 2008. Understanding individual human mobility patterns. Nature, 453: 779--782.
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Huang, W., Dong, Z., Zhao, N., Tian, H., Song, G., Jiang, Y., Xie, K., 2010. Anchor points seeking of large urban crowd based on the mobile billing data. Advanced Data Mining and Applications, Lecture Notes in Computer Science, 6440: 346--357.
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Jiang, B., 2009. Street hierachies: a minority of streets account for a majority of traffic flow. International Journal of Geographical Information Science, 23(8): 1033--1048.
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Li, X., Han, J., Lee J.-G., Gonzalez, H., 2007. Traffic density-based discovery of hot routes in road networks. In: Papadias, D., Zhang, D., Kollios, G., (Eds.), SSTD 2007, Berlin, Springer-Verlag.
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Li, Y.F., Han, J.W., Yang, J., 2004. Clustering moving objects. Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM New York, NY, USA 2004, 617--622.
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Phithakkitnukoon, S., Horanont, T., Di, Lorenzo, G., Shibasaki, R., Ratti, C., 2010. Activity-aware map: identifying human daily activity pattern using mobile phone data. Human Behavior Understanding, Lecture Notes in Computer Science, 6219:14--25.
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Ratti,C., Frenchman, D., Pulselli, R. M., Williams, S., 2006. Mobile landscapes: using location data from cell phones for urban analysis. Environment and Planning B: Planning and Design, 33(5): 727--748.
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Shaw, S.-L., Yu, H. 2009. A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space, Journal of Transport Geography, 17(2): 141--149.
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Index Terms
- TDMA'11 workshop overview
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Comments
Information & Contributors
Information
Published In
September 2011
668 pages
ISBN:9781450306300
DOI:10.1145/2030112
- General Chairs:
- James Landay,
- Yuanchun Shi,
- Program Chairs:
- Donald J. Patterson,
- Yvonne Rogers,
- Xing Xie
Copyright © 2011 Authors.
Sponsors
In-Cooperation
- University of Florida: University of Florida
- SIGSPATIAL: ACM Special Interest Group on Spatial Information
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 September 2011
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Overall Acceptance Rate 764 of 2,912 submissions, 26%
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