-
3
-
-
78149254128
-
Streaming covariance selection with applications to adaptive querying in sensor networks
-
C. Anagnostopoulos, N. M. Adams, and D. J. Hand. Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks. The Computer Journal, 53(9): pp. 1401-1414, 2010.
-
(2010)
The Computer Journal
, vol.53
, Issue.9
, pp. 1401-1414
-
-
Anagnostopoulos, C.1
Adams, N.M.2
Hand, D.J.3
-
4
-
-
33847110316
-
A prediction error-based hypothesis testing method for sensor data acquisition
-
DOI 10.1145/1218556.1218560
-
T. Arici, T. Akgun, and Y. Altunbasak. A prediction error-based hypothesis testing method for sensor data acquisition. ACM Transactions on Sensor Networks (TOSN), Vol. 2, pp. 529-556, 2006. (Pubitemid 46278641)
-
(2006)
ACM Transactions on Sensor Networks
, vol.2
, Issue.4
, pp. 529-556
-
-
Arici, T.1
Akgun, T.2
Altunbasak, Y.3
-
7
-
-
77954442172
-
Model driven data acquisition for sensor networks
-
A. Deshpande, C. Guestrin, S. Madden, J. Hellerstein, and W. Hong. Model Driven Data Acquisition for Sensor Networks. VLDB Conference, pp. 588-599, 2004.
-
(2004)
VLDB Conference
, pp. 588-599
-
-
Deshpande, A.1
Guestrin, C.2
Madden, S.3
Hellerstein, J.4
Hong, W.5
-
9
-
-
3142707201
-
Power conserving computation of order statistics over sensor networks
-
M. Greenwald, and S. Khanna. Power Conserving Computation of Order Statistics over Sensor Networks. ACM PODS Conference, pp. 275-285, 2004.
-
(2004)
ACM PODS Conference
, pp. 275-285
-
-
Greenwald, M.1
Khanna, S.2
-
12
-
-
36349024290
-
Near-optimal observation selection using submodular functions
-
AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
-
A. Krause, and C. Guestrin. Near-optimal observation selection using submodular functions. AAAI Conference, pp. 1650-1654, 2007. (Pubitemid 350149805)
-
(2007)
Proceedings of the National Conference on Artificial Intelligence
, vol.2
, pp. 1650-1654
-
-
Krause, A.1
Guestrin, C.2
-
13
-
-
0003136237
-
Efficient and effective clustering methods for spatial data mining
-
R. T. Ng, and J. Han. Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB Conference, pp. 144-155, 1994.
-
(1994)
VLDB Conference
, pp. 144-155
-
-
Ng, R.T.1
Han, J.2
-
14
-
-
75949097555
-
Robust aggregation in sensor networks
-
G. Kollios, J. Byers, J. Considine, M. Hadjielefttheriou, and F. Li. Robust Aggregation in Sensor Networks. IEEE Data Engineering Bulletin, 28(1): pp. 26-32. 2005.
-
(2005)
IEEE Data Engineering Bulletin
, vol.28
, Issue.1
, pp. 26-32
-
-
Kollios, G.1
Byers, J.2
Considine, J.3
Hadjielefttheriou, M.4
Li, F.5
-
15
-
-
1142291592
-
Adaptive filters for continuous queries over distributed data streams
-
C. Olston, J. Jiang, and J. Widom. Adaptive Filters for Continuous Queries over Distributed Data Streams. ACM SIGMOD Conference, pp. 563-574, 2003.
-
(2003)
ACM SIGMOD Conference
, pp. 563-574
-
-
Olston, C.1
Jiang, J.2
Widom, J.3
-
16
-
-
54249118625
-
The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms
-
[Online]. Available
-
A. Ostfeld(et.al.) The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms. Journal of Water Resources Planning and Management, vol. 134, no. 6, pp. 556-568, 2008.[Online]. Available: http://link.aip.org/link/?QWR/134/556/1
-
(2008)
Journal of Water Resources Planning and Management
, vol.134
, Issue.6
, pp. 556-568
-
-
Ostfeld, A.1
-
17
-
-
80052678884
-
Dimensionality reduction and forecasting of time-series data streams
-
Ed. Charu Aggarwal, Springer, Chapter 12
-
S. Papadimitriou, J. Sun, and C. Faloutsos. Dimensionality Reduction and Forecasting of Time-Series Data Streams. Data Streams: Models and Algorithms, Ed. Charu Aggarwal, Springer, Chapter 12, pp. 261-288, 2007.
-
(2007)
Data Streams: Models and Algorithms
, pp. 261-288
-
-
Papadimitriou, S.1
Sun, J.2
Faloutsos, C.3
-
19
-
-
34547920743
-
Adaptive model selection for time series prediction in wireless sensor networks
-
DOI 10.1016/j.sigpro.2007.05.015, PII S0165168407001879
-
L. Yann-Ael, S. Santini, and G. Bontempi. Adaptive model selection for time series prediction in wireless sensor networks. Signal Processing, Vol. 87, pp. 3010-3020, 2007. (Pubitemid 47259183)
-
(2007)
Signal Processing
, vol.87
, Issue.12
, pp. 3010-3020
-
-
Le Borgne, Y.-A.1
Santini, S.2
Bontempi, G.3
-
20
-
-
0033871940
-
Online data mining for co-evolving time sequences
-
B.-K. Yi, N. Sidiropoulos, T. Johnson, H. V. Jagadish, C. Faloutsos, and A. Biliris. Online Data Mining for Co-Evolving Time Sequences. ICDE Conference, pp. 13-22, 2000. (Pubitemid 30585780)
-
(2000)
Proceedings - International Conference on Data Engineering
, pp. 13-22
-
-
Yi Byoung-Kee1
Sidiropoulos, N.D.2
Johnson Theodore3
Jagadish, H.V.4
Faloutsos Christos5
Biliris Alexandros6
-
21
-
-
0141637082
-
StatStream: Statistical monitoring of thousands of data streams in real time
-
Y. Zhu, and D. Shasha. StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time. VLDB Conference, pp. 358-369, 2002.
-
(2002)
VLDB Conference
, pp. 358-369
-
-
Zhu, Y.1
Shasha, D.2
-
22
-
-
80052655221
-
-
Available online at
-
Available online at: http://berkeley.intel-research.net/labdata/.
-
-
-
-
23
-
-
80052678211
-
-
Available online at
-
Available online at: http://www.cs.cmu.edu/afs/cs/project/spirit-1/www/.
-
-
-
|