136
Voted
ICDM
2010
IEEE
15 years 14 days ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
97
Voted
ICDM
2010
IEEE
15 years 14 days ago
2010
IEEE
ICDM
2010
IEEE
15 years 14 days ago
2010
IEEE
: Topic Modeling Ensembles Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen HP Laboratories HPL-2010-158 Topic model, Ensemble In this paper we propose a framework of topic model...
117
click to vote
ICDM
2010
IEEE
15 years 14 days ago
2010
IEEE
Given a large graph, like a computer network, which k nodes should we immunize (or monitor, or remove), to make it as robust as possible against a computer virus attack? We need (...
148
Voted
ICDM
2010
IEEE
15 years 14 days ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
153
Voted
ICDM
2010
IEEE
15 years 14 days ago
2010
IEEE
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...
139
Voted
ICDM
2010
IEEE
15 years 14 days ago
2010
IEEE
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
133
click to vote
DMIN
2010
15 years 15 days ago
2010
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
218
Voted
ADMA
2010
Springer
15 years 16 days ago
2010
Springer
Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number o...
152
Voted
ADMA
2010
Springer
15 years 16 days ago
2010
Springer
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...