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KDD
2005
ACM
205views Data Mining» more  KDD 2005»
15 years 3 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
PODS
2008
ACM
159views Database» more  PODS 2008»
15 years 10 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
KDD
1999
ACM
166views Data Mining» more  KDD 1999»
15 years 2 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 4 months ago
Transforming Semi-Honest Protocols to Ensure Accountability
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. This is especially important in the field of privacy...
Wei Jiang, Chris Clifton
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 2 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen