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DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
14 years 4 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
KDD
2008
ACM
142views Data Mining» more  KDD 2008»
14 years 11 months ago
Weighted graphs and disconnected components: patterns and a generator
The vast majority of earlier work has focused on graphs which are both connected (typically by ignoring all but the giant connected component), and unweighted. Here we study numer...
Mary McGlohon, Leman Akoglu, Christos Faloutsos
EUROPAR
2006
Springer
14 years 2 months ago
Specification of Inefficiency Patterns for MPI-2 One-Sided Communication
Abstract. Automatic performance analysis of parallel programs can be accomplished by scanning event traces of program execution for patterns representing inefficient behavior. The ...
Andrej Kühnal, Marc-André Hermanns, Be...
REFSQ
2010
Springer
13 years 8 months ago
Towards a Framework for Specifying Software Robustness Requirements Based on Patterns
Abstract. [Context and motivation] With increasing use of software, quality attributes grow in relative importance. Robustness is a software quality attribute that has not received...
Ali Shahrokni, Robert Feldt
TKDE
2008
152views more  TKDE 2008»
13 years 10 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han