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» Finding Consistent Clusters in Data Partitions
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DKE
2008
79views more  DKE 2008»
14 years 11 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
CCGRID
2004
IEEE
15 years 3 months ago
Predicting job start times on clusters
In a Computational Grid which consists of many computer clusters, job start time predictions are useful to guide resource selections and balance the workload distribution. However...
Hui Li, David L. Groep, Jeffrey Templon, Lex Wolte...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
14 years 11 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
INFFUS
2002
108views more  INFFUS 2002»
14 years 11 months ago
Relationships between combination methods and measures of diversity in combining classifiers
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...
Catherine A. Shipp, Ludmila Kuncheva
99
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SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
15 years 5 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...