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VLDB
2005
ACM
153views Database» more  VLDB 2005»
16 years 7 months ago
An effective and efficient algorithm for high-dimensional outlier detection
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
Charu C. Aggarwal, Philip S. Yu
LATIN
2010
Springer
16 years 1 months ago
Compact Rich-Functional Binary Relation Representations
Binary relations are an important abstraction arising in a number of data representation problems. Each existing data structure specializes in the few basic operations required by ...
Jérémy Barbay, Francisco Claude, Gon...
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
WSOM
2009
Springer
16 years 1 months ago
Analytic Comparison of Self-Organising Maps
Abstract. SOMs have proven to be a very powerful tool for data analysis. However, comparing multiple SOMs trained on the same data set using different parameters or initialisation...
Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas...
CLUSTER
2007
IEEE
16 years 1 months ago
Satisfying your dependencies with SuperMatrix
— SuperMatrix out-of-order scheduling leverages el abstractions and straightforward data dependency analysis to provide a general-purpose mechanism for obtaining parallelism from...
Ernie Chan, Field G. Van Zee, Enrique S. Quintana-...