Database Reference
In-Depth Information
[72] Vitter J. S. (1985) Random Sampling with a Reservoir.
ACM Trans-
actions on Mathematical Software
, Vol 11(1), pp. 37-57.
[73] Waltz E., Llinas J. (1990) Multi-Sensor Data Fusion,
Artech House
Radar Library
.
[74] Wang H., Fan W., Yu P., Han J. (2003) Mining Concept-Drifting
Data Streams using Ensemble Classifiers.
ACM KDD Conference
.
[75] Yi B.-K., Sidiropoulos N.D., Johnson T., Jagadish, H. V., Falout-
sos C., Biliris A. (2000). Online data mining for co-evolving time
sequences.
ICDE Conference
.
[76] Xue W., Luo Q., Chen L., Liu Y. (2006) Contour Map Matching for
Event Detection in Sensor Networks,
ACM SIGMOD Conference
.
[77] Yan T., Kumar V., Ganesan D. (2010) Crowdsearch: Exploiting
crowds for accurate real-time image search on mobile phones,
Mo-
biSys
.
[78] Yao Y., Gehrke J. (2003) Query processing in sensors networks,
First Biennial Conference on Innovative Data Systems Research
(CIDR 2003)
.
[79] Yin J., Yang Q., Pan J. (2008) Sensor-based Abnormal Human Ac-
tivity Detection,
IEEE TKDE
, 20(8), pp 1082-1090.
[80] Yu J. X., Chong Z., Lu H., Zhou A. (2004) False positive or false
negative: Mining frequent itemsets from high speed transaction data
streams.
VLDB Conference
.
[81] Zhang T., Ramakrishnan R., Livny M. (1996) BIRCH: An Ecient
Data Clustering Method for Very Large Databases.
ACM SIGMOD
Conference
.
