Database Reference
In-Depth Information
[52] M. E. Tipping and C. M. Bishop. Probabilistic principal component
analysis.
J. Royal Stat. Soc. B
, 61(3), 1999.
[53] K. Ueno, X. Xi, E. J. Keogh, and D.-J. Lee. Anytime classification
using the nearest neighbor algorithm with applications to stream
mining. In
ICDM
, 2006.
[54] H. Wang, W. Fan, P. S. Yu, and J. Han. Mining concept-drifting
data streams using ensemble classifiers. In
KDD
, 2003.
[55] L. Wei, E. J. Keogh, H. V. Herle, and A. Mafra-Neto. Atomic
wedgie: Ecient query filtering for streaming times series. In
ICDM
,
2005.
[56] B. Yang. Projection approximation subspace tracking.
IEEE Trans.
Sig. Proc.
, 43(1):95-107, 1995.
[57] S. S. Yann-Ael Le Borgne and G. Bontempi. Adaptive model selec-
tion for time series prediction in wireless sensor networks.
[58] B.-K. Yi, N. D. Sidiropoulos, T. Johnson, H. Jagadish, C. Faloutsos,
and A. Biliris. Online data mining for co-evolving time sequences.
In
ICDE
, 2000.
[59] P. Yiou, D. Sornette, and M. Ghil. Data-adaptive wavelets and
multi-scale singular-spectrum analysis.
Physica D
, 142, 2000.
[60] P. Young.
Recursive Estimation and Time-Series Analysis: An In-
troduction
. Springer-Verlag, 1984.
[61] T. Zhang, R. Ramakrishnan, and M. Livny. BIRCH: An ecient
data clustering method for very large databases. In
SIGMOD
, 1996.
[62] Y. Zhu and D. Shasha. StatStream: Statistical monitoring of thou-
sands of data streams in real time. In
VLDB
, 2002.
[63] J. Sun, D. Tao, S. Papadimitriou, P. S. Yu, and C. Faloutsos, Incre-
mental tensor analysis: Theory and application. In
TKDD
, 2008.