144 search results - page 22 / 29 » Mining Comprehensible Clustering Rules with an Evolutionary ... |
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
BMCBI
2008
13 years 7 months ago
2008
Background: Data mining in large DNA sequences is a major challenge in microbial genomics and bioinformatics. Oligonucleotide usage (OU) patterns provide a wealth of information f...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...