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ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
16 years 1 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
16 years 1 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
16 years 1 months ago
Isolation Forest
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
16 years 1 months ago
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 29 days ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...