307 search results - page 27 / 62 » An Iterative Method for Mining Frequent Temporal Patterns |
SSDBM
2010
IEEE
13 years 7 months ago
2010
IEEE
Currently, a large amount of data can be best represented as graphs, e.g., social networks, protein interaction networks, etc. The analysis of these networks is an urgent research ...
CAIP
2009
Springer
14 years 3 months ago
2009
Springer
Measures of central tendency for graphs are important for protoype construction, frequent substructure mining, and multiple alignment of protein structures. This contribution propo...
PAKDD
2010
ACM
14 years 1 months ago
2010
ACM
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
KDD
2009
ACM
14 years 3 months ago
2009
ACM
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
GFKL
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...