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PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
13 years 9 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
14 years 1 months ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
TCS
2008
13 years 7 months ago
Online unit clustering: Variations on a theme
Online unit clustering is a clustering problem where classification of points is done in an online fashion, but the exact location of clusters can be modified dynamically. We stud...
Leah Epstein, Asaf Levin, Rob van Stee
SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
14 years 1 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...
HIPC
2009
Springer
13 years 4 months ago
Extracting the textual and temporal structure of supercomputing logs
Supercomputers are prone to frequent faults that adversely affect their performance, reliability and functionality. System logs collected on these systems are a valuable resource o...
Sourabh Jain, Inderpreet Singh, Abhishek Chandra, ...