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» Using Data Mining to Estimate Missing Sensor Data
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ESANN
2006
15 years 7 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
SDM
2008
SIAM
197views Data Mining» more  SDM 2008»
15 years 7 months ago
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
16 years 6 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
CDC
2009
IEEE
164views Control Systems» more  CDC 2009»
15 years 7 months ago
Kalman filter based estimation of flow states in open channels using Lagrangian sensing
In this article, we investigate real-time estimation of flow states, average velocity and stage (water depth), in open channels using the measurements obtained from Lagrangian sens...
Mohammad Rafiee, Qingfang Wu, Alexandre M. Bayen
ICCCN
2007
IEEE
16 years 9 days ago
An FEC-based Reliable Data Transport Protocol for Underwater Sensor Networks
—In this paper, we investigate the reliable data transport problem in underwater sensor networks. Underwater sensor networks are significantly different from terrestrial sensor ...
Peng Xie, Jun-Hong Cui