1344 search results - page 102 / 269 » Cluster Analysis of High-Dimensional Data: A Case Study |
HIS
2008
13 years 9 months ago
2008
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
BIODATAMINING
2008
13 years 8 months ago
2008
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
BPM
2009
Springer
14 years 2 months ago
2009
Springer
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
VIZSEC
2007
Springer
14 years 1 months ago
2007
Springer
This paper describes Isis, a system that uses progressive multiples of timelines and event plots to support the iterative investigation of intrusions by experienced analysts using ...
MM
2009
ACM
14 years 2 months ago
2009
ACM
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...