Information Technology Reference
In-Depth Information
Dodge, S., Laube, P., & Weibel, R. (2012). Movement similarity assessment using symbolic rep-
resentation of trajectories. International Journal of Geographical Information Science , 26 (9),
1563-1588.
Downs, J. A., & Horner, M. W. (2010). In S. Fabrikant, T. Reichenbacher, M. Kreveld, & C.
Schlieder (Eds.), Geographic information science . Lecture Notes in Computer Science (Vol.
6292, pp. 16-26). Berlin: Springer.
Downs, J. A., & Horner, M. W. (2012). Analysing infrequently sampled animal tracking data
by incorporating generalized movement trajectories with kernel density estimation. Computers,
Environment and Urban Systems , 36 (4), 302-310.
Dumont, B., Boissy, A., Achard, C., Sibbald, A. M., & Erhard, H. W. (2005). Consistency of animal
order in spontaneous group movements allows the measurement of leadership in a group of
grazing heifers. Applied Animal Behaviour Science , 95 (1-2), 55-66.
Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery
in databases. AI Magazine , 17 (3), 37-54.
Galton, A. (2005). Dynamic collectives and their collective dynamics. In A. Cohn & D. M. Mark
(Eds.), Spatial Information Theory, Proceedings . Lecture Notes in Computer Science (Vol. 3693,
pp. 300-315). Heidelberg: Springer.
Geng, L., & Hamilton, H. J. (2006). Interestingness measures for data mining: A survey. ACM
Computing Surveys , 38 (3), 9.
Gonzalez, M. C., Hidalgo, C. A., & Barabasi, A. L. (2008). Understanding individual human
mobility patterns. Nature , 453 (7196), 779-782.
Gottfried, B. (2011). Interpreting motion events of pairs of moving objects. GeoInformatica , 15 (2),
247-271.
Guilford, T., Meade, J., Willis, J., Phillips, R., Boyle, D., Roberts, S., et al. (2009). Migration and
stopover in a small pelagic seabird, the manx shearwater puffinus puffinus: Insights frommachine
learning. Proceedings of the Royal Society B: Biological Sciences , 276 (1660), 1215-1223.
Han, J., & Kamber, M. (2006). Data mining: Concepts and techniques . Amsterdam: Morgan Kauf-
mann Publishers.
Hand, D. J., Manilla, H., & Smyth, P. (2001). Principles of data mining . Cambridge, MA: MIT
Press.
Huang, Y., Chen, C. &Dong, P. (2008). Modeling herds and their evolvements from trajectory data.
Proceedings of Fifth International Conference on Geographic Information Science .
Jeung, H., Shen, H. T., & Zhou, X. (2008a). Convoy queries in spatio-temporal databases. In 2008
IEEE 24th International Conference on Data Engineering (pp. 1457-1459), Cancun, Mexico.
Jeung, H., Yiu, M. L., Zhou, X., Jensen, C. S., & Shen, H. T. (2008b). Discovery of convoys in
trajectory databases. Proceedings of the VLDB Endowment , 1 (1), 1068-1080.
Keim, D., Andrienko, G., Fekete, J.-D., Görg, C., Kohlhammer, J. & Melançon, G. (2008). Visual
analytics: Definition, process, and challenges. In A. Kerren, J. Stasko, J.-D. Fekete, C. North
(Eds.), Information visualization . Lecture Notes in Computer Science (Vol. 4950, pp. 154-175).
Berlin: Springer.
Laube, P. (2009) Progress in movement pattern analysis. In B. Gottfried & H. Aghajan (Eds.),
Behaviour monitoring and interpretation, BMI, smart environments . Ambient Intelligence and
Smart Environments (Vol. 3, pp. 43-71). Amsterdam, NL: IOS Press.
Laube, P., Berg, M., Kreveld, M., et al. (2008a). Spatial support and spatial confidence for spatial
association rules. InA. Ruas&C. Gold (Eds.), Headway in spatial data handling . Berlin: Springer.
Laube, P., Dennis, T., Walker, M., & Forer, P. (2007). Movement beyond the snapshot-dynamic
analysis of geospatial lifelines. Computers, Environment and Urban Systems , 31 (5), 481-501.
Laube, P., Duckham, M., & Palaniswami, M. (2011a). Deferred decentralized movement pattern
mining for geosensor networks. International Journal of Geographical Information Science ,
25 (2), 273-292.
Laube, P., Duckham, M., & Wolle, T. (2008b). Decentralized movement pattern detection amongst
mobile geosensor nodes. In T. J. Cova, K. Beard,M. F. Goodchild, &A. U. Frank (Eds.), GIScience
2008 . Lecture Notes in Computer Science (Vol. 5266, pp. 199-216). Berlin: Springer.
Search WWH ::




Custom Search