ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
The vast majority of visualization tools introduced so far are specialized pieces of software that are explicitly run on a particular dataset at a particular time for a particular...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
This paper presents a novel algorithm to cluster emails according to their contents and the sentence styles of their subject lines. In our algorithm, natural language processing t...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...