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SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
13 years 10 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
DAWAK
2003
Springer
14 years 2 months ago
Handling Large Workloads by Profiling and Clustering
View materialization is recognized to be one of the most effective ways to increase the Data Warehouse performance; nevertheless, due to the computational complexity of the techniq...
Matteo Golfarelli
BIRTHDAY
2003
Springer
14 years 2 months ago
Spatial Data Management for Virtual Product Development
Abstract: In the automotive and aerospace industry, millions of technical documents are generated during the development of complex engineering products. Particularly, the universa...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...
PKDD
2010
Springer
141views Data Mining» more  PKDD 2010»
13 years 6 months ago
On Detecting Clustered Anomalies Using SCiForest
Detecting local clustered anomalies is an intricate problem for many existing anomaly detection methods. Distance-based and density-based methods are inherently restricted by their...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
ICDS
2009
IEEE
14 years 3 months ago
A Hybrid Approach for Clustering-Based Data Aggregation in Wireless Sensor Networks
—In a wireless sensor network application for tracking multiple mobile targets, large amounts of sensing data can be generated by a number of sensors. These data must be controll...
Woo Sung Jung, Keun Woo Lim, Young-Bae Ko, Sang-Jo...