58 search results - page 9 / 12 » Soft constraint based pattern mining |
AMW
2010
13 years 9 months ago
2010
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
RTSS
2000
IEEE
13 years 11 months ago
2000
IEEE
Many industrial applications with real-time demands are composed of mixed sets of tasks with a variety of requirements. These can be in the form of standard timing constraints, su...
CINQ
2004
Springer
14 years 1 months ago
2004
Springer
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...