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CIKM
2006
Springer
15 years 10 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
IJCAI
2001
15 years 8 months ago
Combining Statistics and Semantics for Word and Document Clustering
A new approach for constructing pseudo-keywords, referred to as Sense Units, is proposed. Sense Units are obtained by a word clustering process, where the underlying similarity re...
Alexandre Termier, Michèle Sebag, Marie-Chr...
WCET
2007
15 years 7 months ago
Clustering Worst-Case Execution Times for Software Components
For component-based systems, classical techniques for Worst-Case Execution Time (WCET) estimation produce unacceptable overestimations of a components WCET. This is because softwa...
Johan Fredriksson, Thomas Nolte, Andreas Ermedahl,...
ICCS
2003
Springer
15 years 12 months ago
Performance Analysis of a Parallel Application in the GRID
Performance analysis of real applications in clusters and GRID like environments is essential to fully exploit the performance of new architectures. The key problem is the deepenin...
Holger Brunst, Edgar Gabriel, Marc Lange, Matthias...
AUSAI
2009
Springer
15 years 10 months ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...