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ICDM
2010
IEEE
154views Data Mining» more  ICDM 2010»
9 years 4 months ago
Mining Public Transport Usage for Personalised Intelligent Transport Systems
Traveller information, route planning, and service updates have become essential components of public transport systems: they help people navigate built environments by providing a...
Neal Lathia, Jon Froehlich, Licia Capra
ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
9 years 4 months ago
Bonsai: Growing Interesting Small Trees
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 ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...
ICDM
2010
IEEE
109views Data Mining» more  ICDM 2010»
9 years 4 months ago
Term Filtering with Bounded Error
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...
Zi Yang, Wei Li, Jie Tang, Juanzi Li
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
9 years 4 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
9 years 4 months ago
Discovering Overlapping Groups in Social Media
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...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
9 years 4 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
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...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
9 years 4 months ago
Detecting Novel Discrepancies in Communication Networks
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...
James Abello, Tina Eliassi-Rad, Nishchal Devanur
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
9 years 4 months ago
Anomaly Detection Using an Ensemble of Feature Models
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 ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
9 years 4 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
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...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
9 years 4 months ago
Learning Markov Network Structure with Decision Trees
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...
Daniel Lowd, Jesse Davis
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