58 search results - page 9 / 12 » Pushing Tougher Constraints in Frequent Pattern Mining |
JCP
2006
13 years 7 months ago
2006
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
SIGMOD
2010
ACM
14 years 8 days ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
SP
2008
IEEE
13 years 7 months ago
2008
IEEE
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
CORR
2008
Springer
13 years 7 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...