19 search results - page 4 / 4 » Mining Surprising Patterns Using Temporal Description Length |
WSDM
2010
ACM
14 years 2 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
IDA
2007
Springer
13 years 5 months ago
2007
Springer
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
EDBT
2009
ACM
14 years 2 days ago
2009
ACM
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
FLAIRS
2010
13 years 7 months ago
2010
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...