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SDM
2008
SIAM
164views Data Mining» more  SDM 2008»
15 years 5 months ago
Randomizing Social Networks: a Spectrum Preserving Approach
Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. The nodes in the network are the individuals and...
Xiaowei Ying, Xintao Wu
SDM
2007
SIAM
120views Data Mining» more  SDM 2007»
15 years 5 months ago
An Analysis of Logistic Models: Exponential Family Connections and Online Performance
Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
Arindam Banerjee
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 5 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 5 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
AAAI
1996
15 years 5 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
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