709 search results - page 71 / 142 » Constraint-Based Pattern Set Mining |
108
Voted
PKDD
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
130
Voted
FQAS
2004
Springer
15 years 4 months ago
2004
Springer
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
110
Voted
SDM
2008
SIAM
15 years 2 months ago
2008
SIAM
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
100
Voted
DAGSTUHL
2004
15 years 2 months ago
2004
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
KDD
2004
ACM
16 years 29 days ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...