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» Learning the Common Structure of Data
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156
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WWW
2003
ACM
16 years 4 months ago
Mining newsgroups using networks arising from social behavior
Recent advances in information retrieval over hyperlinked corpora have convincinglydemonstratedthat links carry less noisy information than text. We investigate the feasibility of...
Rakesh Agrawal, Sridhar Rajagopalan, Ramakrishnan ...
137
Voted
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 4 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
128
Voted
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 4 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 4 months ago
User grouping behavior in online forums
Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a re...
Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 4 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye