557 search results - page 13 / 112 » Sequence Mining in Categorical Domains: Algorithms and Appli... |
KDD
2008
ACM
14 years 8 months ago
2008
ACM
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
MLDM
2007
Springer
14 years 2 months ago
2007
Springer
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
Classic algorithms for sequential pattern discovery, return all frequent sequences present in a database. Since, in general, only a few ones are interesting from a user's poin...