311 search results - page 3 / 63 » Better streaming algorithms for clustering problems |
APPROX
2008
Springer
13 years 6 months ago
2008
Springer
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
PAKDD
2010
ACM
13 years 9 months ago
2010
ACM
Abstract. The definition of a community in social networks varies with applications. To generalize different types of communities, the concept of linkpattern based community was pr...
ASC
2008
13 years 5 months ago
2008
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
BPM
2009
Springer
13 years 11 months ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
DAWAK
2004
Springer
13 years 10 months ago
2004
Springer
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...