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PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 11 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
DATAMINE
2006
224views more  DATAMINE 2006»
14 years 9 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
COMSWARE
2007
IEEE
15 years 4 months ago
Exploiting Energy-aware Spatial Correlation in Wireless Sensor Networks
Abstract— Wireless sensor networks (WSNs) promise finegrain monitoring in a wide variety of applications, which require dense sensor nodes deployment. Due to high density of nod...
Ghalib A. Shah, Muslim Bozyigit
HCI
2009
14 years 7 months ago
Tonic Changes in EEG Power Spectra during Simulated Driving
Electroencephalographic (EEG) correlates of driving performance were studied using an event-related lane-departure paradigm. High-density EEG data were analyzed using independent c...
Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 2 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...