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SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
15 years 8 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
ICMLA
2004
15 years 8 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
PKDD
2010
Springer
131views Data Mining» more  PKDD 2010»
15 years 5 months ago
Flu Detector - Tracking Epidemics on Twitter
Abstract. We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illness (ILI) in several regions of the United Kingdom using the contents...
Vasileios Lampos, Tijl De Bie, Nello Cristianini
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
15 years 5 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 4 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud