A framework for context-aware trajectory

Data Mining for Business Applications

Volumn , Issue , 2009, Pages 225-239

  Bogorny, Vania ^a   Wachowicz, Monica ^b  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84891402628     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-0-387-79420-4_16     Document Type: Chapter

References (22)

1. Alvares, L.O., Bogorny, V., Kuijpers, B., de Macedo, J.A.F., Moelans, B., Vaisman, A.: A model for enriching trajectories with semantic geographical information. In: ACM-GIS, New York, NY, USA, ACM Press (2007) 162-169
2. Palma, A.T., Bogorny, V., Kuijpers, B., Alvares, L.O.: A clustering-based approach for discovering interesting places in trajectories. In: ACMSAC, New York, NY, USA, ACM Press (2008) 863-868
3. Cao, H., Mamoulis, N., Cheung, D.W.: Discovery of collocation episodes in spatiotemporal data. In: ICDM, IEEE Computer Society (2006) 823-827
4. Gudmundsson, J., van Kreveld, M.J.: Computing longest duration flocks in trajectory data. [23] 35-42
5. Laube, P., Imfeld, S., Weibel, R.: Discovering relative motion patterns in groups of moving point objects. International Journal of Geographical Information Science 19(6) (2005) 639-668
6. Lee, J., Han, J., Whang, K.Y.: Trajectory clustering: A partition-and-group framework. In: SCM SIGMOD International Conference on Management Data (SIGMOD'07), Beijing, China (June 11-14 2007)
7. Li, Y., Han, J., Yang, J.: Clustering moving objects. In: KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, New York, NY, USA, ACM Press (2004) 617-622
8. Nanni, M., Pedreschi, D.: Time-focused clustering of trajectories of moving objects. Journal of Intelligent Information Systems 27(3) (2006) 267-289
9. Tsoukatos, I., Gunopulos, D.: Efficient mining of spatiotemporal patterns. In Jensen, C.S., Schneider, M., Seeger, B., Tsotras, V.J., eds.: SSTD. Volume 2121 of Lecture Notes in Computer Science., Springer (2001) 425-442
10. Verhein, F., Chawla, S.: Mining spatio-temporal association rules, sources, sinks, stationary regions and thoroughfares in object mobility databases. In Lee, M.L., Tan, K.L., Wuwongse, V., eds.: DASFAA. Volume 3882 of Lecture Notes in Computer Science., Springer (2006) 187-201
11. Bogorny, V., Kuijpers, B., Alvares, L.O.: St-dmql: a semantic trajectory data mining query language. International Journal of Geographical Information Science (2009) in Press
12. Giannotti, F., Nanni, M., Pinelli, F., Pedreschi, D.: Trajectory pattern mining. In Berkhin, P., Caruana, R., Wu, X., eds.: KDD, ACM (2007) 330-339
13. Kuijpers, B., Moelans, B., de Weghe, N.V.: Qualitative polyline similarity testing with applications to query-by-sketch, indexing and classification. In de By, R.A., Nittel, S., eds.: 14th ACM International Symposium on Geographic Information Systems, ACM-GIS 2006, November 10-11, 2006, Arlington, Virginia, USA, Proceedings, ACM (2006) 11-18
14. Pelekis, N., Kopanakis, I., Ntoutsi, I., Marketos, G., Theodoridis, Y.: Mining trajectory databases via a suite of distance operators. In: ICDE Workshops, IEEE Computer Society (2007) 575-584
15. OGC: Topic 5, opengis abstract specification-features (version 4) (1999). Available at: http://www.OpenGIS.org/techno/specs.htm. Accessed in August (2005) (1999)
16. Shekhar, S., Chawla, S.: Spatial Databases: A Tour. Prentice Hall (June 2002)
17. Rigaux, P., Scholl, M., Voisard, A.: Spatial Databases: with application to GIS. Morgan Kaufmann
18. Spaccapietra, S., Parent, C., Damiani, M.L., de Macedo, J.A., Porto, F., Vangenot, C.: A conceptual view on trajectories. Data and Knowledge Engineering 65(1) (2008) 126-146
19. Han, J.: Mining knowledge at multiple concept levels. In: CIKM, ACM (1995) 19-24
20. Bogorny, V., Palma, A.T., Engel, P., Alvares, L.O.: Weka-gdpm: Integrating classical data mining toolkit to geographic information systems. In: WAAMD Workshop, SBC (2006) 9-16
21. Agrawal, R., Srikant, R.: Mining sequential patterns. In Yu, P.S., Chen, A.L.P., eds.: ICDE, IEEE Computer Society (1995) 3-14
22. Society, W.: Frequency 1550. Available at: http://www.waag.org/project/ frequentie. Accessed in September (2007) (2005)