Database Reference
In-Depth Information
[72] S. Papadimitriou, J. Sun, and C. Faloutsos. Streaming pattern
discovery in multiple time-series. In VLDB , pages 697-708, 2005.
[73] N. D. Pham, T. D. Le, and H. Choo. SCCS: Spatiotemporal clus-
tering and compressing schemes for ecient data collection appli-
cations in WSNs. Int. Journal of Communication Systems , 23,
2010.
[74] J. Polastre, R. Szewczyk, and D. Culler. Telos: Enabling ultra-low
power wireless research. In Proc.oftheInt.Conf.onInformation
Processing in Sensor Networks (IPSN) , 2005.
[75] I. Popivanov and R. J. Miller. Similarity Search Over Time Se-
ries Data Using Wavelets. In International Conference on Data
Engineering , pages 802-813, San Jose, CA, USA, February 2002.
[76] D. Rafiei. On Similarity-Based Queries for Time Series Data. In
International Conference on Data Engineering , Sydney, Australia,
March 1999.
[77] S. Rajasegarar, C. Leckie, M. Palaniswami, and J. C. Bezdek.
Quarter sphere based distributed anomaly detection in wireless
sensor networks. In ICC , pages 3864-3869, 2007.
[78] S. Ramaswamy, R. Rastogi, and K. Shim. Ecient algorithms
for mining outliers from large data sets. In SIGMOD Conference ,
pages 427-438, 2000.
[79] U. Raza, A. Camerra, A. L. Murphy, T. Palpanas, and G. P. Picco.
What does model-driven data acquisition really achieve in wireless
sensor networks? In IEEE International Conference on Pervasive
Computing and Communications , Lugano, Switzerland, 2012.
[80] P. P. Rodrigues, J. Gama, and L. Lopes. Clustering distributed
sensor data streams. In ECML PKDD 2008, LNAI. Springer-
Verlag , 2008.
[81] G. Sagy, D. Keren, I. Sharfman, and A. Schuster. Distributed
threshold querying of general functions by a difference of mono-
tonic representation. PVLDB , 4(2):46-57, 2010.
[82] Y. Sakurai, S. Papadimitriou, and C. Faloutsos. Braid: Stream
mining through group lag correlations. In SIGMOD Conference ,
pages 599-610, 2005.
[83] S.R. Sarangi and K. Murthy. DUST: a generalized notion of sim-
ilarity between uncertain time series. In Proceedings of the 16th
ACM SIGKDD international conference on Knowledge discovery
and data mining , pages 383-392. ACM, 2010.
[84] D. Scott. Multivariate Density Estimation: Theory, Practice and
Visualization . Wiley & Sons, 1992.
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