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ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
14 years 4 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein
KBSE
2006
IEEE
14 years 4 months ago
Sieve: A Tool for Automatically Detecting Variations Across Program Versions
Software systems often undergo many revisions during their lifetime as new features are added, bugs repaired, abstractions simplified and refactored, and performance improved. Wh...
Murali Krishna Ramanathan, Ananth Grama, Suresh Ja...
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
14 years 4 days ago
On community outliers and their efficient detection in information networks
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...
BMCBI
2010
135views more  BMCBI 2010»
13 years 10 months ago
Detecting disease associated modules and prioritizing active genes based on high throughput data
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
Yu-Qing Qiu, Shi-Hua Zhang, Xiang-Sun Zhang, Luona...
TSP
2008
101views more  TSP 2008»
13 years 10 months ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami