322 search results - page 3 / 65 » Mining Frequent Tree-Like Patterns in Large Datasets |
ICDE
2010
IEEE
13 years 10 months ago
2010
IEEE
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
KDD
2003
ACM
14 years 6 months ago
2003
ACM
The growth of bioinformatics has resulted in datasets with new characteristics. These datasets typically contain a large number of columns and a small number of rows. For example,...
AUSDM
2007
Springer
14 years 12 days ago
2007
Springer
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
IDEAS
2006
IEEE
14 years 8 days ago
2006
IEEE
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...