ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
In recent years, a major thread of research on kanonymity has focused on developing more flexible generalization schemes that produce higher-quality datasets. In this paper we in...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
ICDM
2006
IEEE
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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...