ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Co-location pattern discovery presents challeng...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
Multivariate time series (MTS) data sets are common in various multimedia, medical and financial application domains. These applications perform several data-analysis operations ...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
The Foundation Coalition and others have been working on the development of Concept Inventory (CI) assessment instruments patterned after the well-known Force Concept Inventory...
