Movement Mining - Computational Movement Analysis - page 56

Silberschatz, A., & Tuzhilin, A. (1996). What makes patterns interesting in knowledge discovery
systems. IEEE Transactions on Knowledge and Data Engineering , 8 (6), 970-974.
Spaccapietra, S., Parent, C., Damiani, M. L., de Macedo, J. A., Portoa, F., & Vangenot, C. (2008).
A conceptual view on trajectories. Data and Knowledge Engineering , 65 (1), 126-146.
Thomas, J. J., & Cook, K. A. (2006). A visual analytics agenda. IEEE Computer Graphics and
Applications , 26 (1), 10-13.
Tufte, E., & Graves-Morris, P. (1983). The visual display of quantitative information (Vol. 31).
Cheshire, CT: Graphics Press.
Van de Weghe, N., Cohn, A. G., Bogaert, P., & De Maeyer, P. (2004). Representation of moving
objects along a road network. In Proceedings of the 12th International Conference on Geoinfor-
matics , Citeseer.
Vlachos, M., Gunopulos, D., &Das, G. (2004). Rotation invariant distance measures for trajectories.
In Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (pp. 707-712). Seattle, WA. ACM.
Vlachos, M., Gunopulos, D., & Kollios, G. (2002a). Robust similarity measures for mobile object
trajectories. In Preceedings of 13th International Workshop on Database and Expert Systems
Applications (pp. 721-728). IEEE Computer Society.
Vlachos, M., Kollios, G., & Gunopulos, D. (2002b). Discovering similar multidimensional trajec-
tories. In Proceedings of 18th International Converence on Data Engineering (ICDE'02) .
Wachowicz, M., Ong, R., Renso, C., & Nanni, M. (2011). Finding moving flock patterns among
pedestrians through collective coherence. International Journal of Geographical Information
Science , 25 (11), 1849-1864.
Van de Weghe, N., Cohn, A. G., De Tré, G., & De Maeyer, P. (2006). A qualitative trajectory
calculus as a basis for representing moving objects in geographical information systems. Control
and Cybernetics , 35 (1), 97-119.
Wood, Z., &Galton, A. (2009a). Classifying collective motion. In B. Gottfried &H. Aghajan (Eds.),
Behaviour monitoring and interpretation-BMI-smart environments . Ambient Intelligence and
Smart Environments (Vol. 3, pp. 129-155). Amsterdam, NL: IOS Press.
Wood, Z., & Galton, A. (2009b). A taxonomy of collective phenomena. Applied Ontology , 4 (3),
267-292.
Yoon, H. & Shahabi, C. (2008). Robust time-referenced segmentation of moving object trajectories.
In 8th IEEE International Conference on Data Mining (ICDM '08) (pp. 1121-1126).
Zhang, Q., Slingsby, A., Dykes, J., Wood, J., Kraak, M.-J., Blok, C. A., & Ahas, R. (2013). Visual
analysis design to support research into movement and use of space in tallinn: A case study.
Information Visualization . (In Press).