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» On Density Based Transforms for Uncertain Data Mining
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ICDE
2012
IEEE
246views Database» more  ICDE 2012»
11 years 10 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...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
TKDE
2010
274views more  TKDE 2010»
13 years 5 months ago
Ranked Query Processing in Uncertain Databases
—Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to “certain” data, the ...
Xiang Lian, Lei Chen 0002
EDBT
2008
ACM
180views Database» more  EDBT 2008»
14 years 7 months ago
Probabilistic ranked queries in uncertain databases
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
Xiang Lian, Lei Chen 0002
BMCBI
2006
90views more  BMCBI 2006»
13 years 7 months ago
A Fourier Transformation based Method to Mine Peptide Space for Antimicrobial Activity
Background: Naturally occurring antimicrobial peptides are currently being explored as potential candidate peptide drugs. Since antimicrobial peptides are part of the innate immun...
Vijayaraj Nagarajan, Navodit Kaushik, Beddhu Mural...