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» Clustering by pattern similarity in large data sets
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CINQ
2004
Springer
133views Database» more  CINQ 2004»
15 years 10 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
CC
2006
Springer
125views System Software» more  CC 2006»
15 years 10 months ago
Path-Based Reuse Distance Analysis
Abstract. Profiling can effectively analyze program behavior and provide critical information for feedback-directed or dynamic optimizations. Based on memory profiling, reuse dista...
Changpeng Fang, Steve Carr, Soner Önder, Zhen...
IJHPCA
2010
105views more  IJHPCA 2010»
15 years 5 months ago
A Pipelined Algorithm for Large, Irregular All-Gather Problems
We describe and evaluate a new, pipelined algorithm for large, irregular all-gather problems. In the irregular all-gather problem each process in a set of processes contributes in...
Jesper Larsson Träff, Andreas Ripke, Christia...
KESAMSTA
2010
Springer
15 years 11 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
EMNLP
2006
15 years 8 months ago
Random Indexing using Statistical Weight Functions
Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
James Gorman, James R. Curran