ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal d...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
We investigate four previously unexplored aspects of ensemble selection, a procedure for building ensembles of classifiers. First we test whether adjusting model predictions to p...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
1 In traditional direct marketing, the implicit assumption is that customers will only purchase the product if they are contacted. In real business environments, however, there ar...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...