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» Evaluation Methods for Web Application Clustering
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IPPS
2008
IEEE
14 years 3 months ago
Outlier detection in performance data of parallel applications
— When an adaptive software component is employed to select the best-performing implementation for a communication operation at runtime, the correctness of the decision taken str...
Katharina Benkert, Edgar Gabriel, Michael M. Resch
ICDM
2009
IEEE
147views Data Mining» more  ICDM 2009»
13 years 6 months ago
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
Diansheng Guo
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
14 years 2 months ago
Online Hierarchical Clustering in a Data Warehouse Environment
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
ECCV
2008
Springer
14 years 11 months ago
Photo and Video Quality Evaluation: Focusing on the Subject
Abstract. Traditionally, distinguishing between high quality professional photos and low quality amateurish photos is a human task. To automatically assess the quality of a photo t...
Yiwen Luo, Xiaoou Tang
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
14 years 9 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley