TY - CHAP
T1 - Notice of Retraction
T2 - An enhanced streaming pattern discovery algorithm for sensor networks
AU - Cheng, Wei
AU - Shi, Haoshan
AU - Li, Dong
PY - 2010
Y1 - 2010
N2 - This paper proposes an enhanced pattern discovery algorithm for data streams processing of sensor networks, in order to improve the performance of SPIRIT. The new algorithm adapts the optimized correction for tracking weights vectors, and the dynamic expanding in detecting the number of hidden variables. Simulation results show that compared to the original algorithm, the proposed algorithm can reduce the reconstruction error, increase the energy fraction of reconstruction, and decrease the number of hidden variables, so it extract the principal components and discover patterns among streams more efficiently.
AB - This paper proposes an enhanced pattern discovery algorithm for data streams processing of sensor networks, in order to improve the performance of SPIRIT. The new algorithm adapts the optimized correction for tracking weights vectors, and the dynamic expanding in detecting the number of hidden variables. Simulation results show that compared to the original algorithm, the proposed algorithm can reduce the reconstruction error, increase the energy fraction of reconstruction, and decrease the number of hidden variables, so it extract the principal components and discover patterns among streams more efficiently.
KW - Data streams
KW - Dynamic expanding
KW - Optimized correction
KW - Sensor networks
UR - http://www.scopus.com/inward/record.url?scp=77958552281&partnerID=8YFLogxK
U2 - 10.1109/ICCSIT.2010.5563965
DO - 10.1109/ICCSIT.2010.5563965
M3 - 章节
AN - SCOPUS:77958552281
SN - 9781424455386
T3 - Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
SP - 441
EP - 445
BT - Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
PB - IEEE Computer Society
ER -