83 search results - page 3 / 17 » SCALE: a scalable framework for efficiently clustering trans... |
EDBT
2004
ACM
14 years 5 months ago
2004
ACM
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
IPPS
2007
IEEE
14 years 2 days ago
2007
IEEE
Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, sto...
KAIS
2006
13 years 5 months ago
2006
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
IPPS
2010
IEEE
13 years 3 months ago
2010
IEEE
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
CIDM
2007
IEEE
14 years 3 days ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...