ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Traveller information, route planning, and service updates have become essential components of public transport systems: they help people navigate built environments by providing a...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--In this paper, we consider a novel problem referred to as term filtering with bounded error to reduce the term (feature) space by eliminating terms without (or with bound...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--We address the problem of detecting characteristic patterns in communication networks. We introduce a scalable approach based on set-system discrepancy. By implicitly lab...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...