ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
Communities are nodes in a network that are grouped together based on a common set of properties. While the communities and link structures are often thought to be in alignment, i...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
We propose a market mechanism that can be implemented on clustering aggregation problem among selfish systems, which tend to lie about their correct clustering during aggregation ...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
This paper addresses the issue of extraction of an academic researcher social network. By researcher social network extraction, we are aimed at finding, extracting, and fusing the...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
Using mobile devices, such as smart phones, people may create and distribute different types of digital content (e.g., photos, videos). One of the problems is that digital content...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
Inspired by emerging multi-core computer architectures, in this paper we present MT CLOSED, a multi-threaded algorithm for frequent closed itemset mining (FCIM). To the best of ou...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
ICDM
2007
IEEE
14 years 5 months ago
2007
IEEE
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...