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» Mining Multiple Data Sources: Local Pattern Analysis
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KDD
2012
ACM
197views Data Mining» more  KDD 2012»
13 years 2 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
BMCBI
2011
14 years 3 months ago
Cell Subset Prediction for Blood Genomic Studies
Background: Genome-wide transcriptional profiling of patient blood samples offers a powerful tool to investigate underlying disease mechanisms and personalized treatment decisions...
Christopher R. Bolen, Mohamed Uduman, Steven H. Kl...
JMLR
2010
172views more  JMLR 2010»
14 years 6 months ago
Modeling annotator expertise: Learning when everybody knows a bit of something
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
Yan Yan, Rómer Rosales, Glenn Fung, Mark W....
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 2 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
GLOBECOM
2006
IEEE
15 years 5 months ago
Modelling the Impact of User Mobility on the Throughput in Networks of Wireless 802.11 LANs
— The wireless LAN technology 802.11, also called Wi-Fi, offers high speed wireless Internet access for local area environments. WLANs provide much higher data rates than the mob...
Sandjai Bhulai, Robert D. van der Mei, Taoying Yua...