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198
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PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
16 years 1 months ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher
173
Voted
ICSE
1999
IEEE-ACM
15 years 11 months ago
Identifying Objects Using Cluster and Concept Analysis
Many approaches to support (semi-automatic) identification of objects in legacy code take the data structures as starting point for candidate classes. Unfortunately, legacy data ...
Arie van Deursen, Tobias Kuipers
DMIN
2006
120views Data Mining» more  DMIN 2006»
15 years 8 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
CICLING
2009
Springer
16 years 7 months ago
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
Kazunari Sugiyama, Manabu Okumura
CLUSTER
2008
IEEE
16 years 1 months ago
Predictive models for bandwidth sharing in high performance clusters
Abstract—Using MPI as communication interface, one or several applications may introduce complex communication behaviors over the network cluster. This effect is increased when n...
Jérôme Vienne, Maxime Martinasso, Jea...