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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 8 days ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
ICML
2006
IEEE
14 years 7 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
JCM
2006
129views more  JCM 2006»
13 years 6 months ago
T-ANT: A Nature-Inspired Data Gathering Protocol for Wireless Sensor Networks
There are many difficult challenges ahead in the design of an energy-efficient communication stack for wireless sensor networks. Due to the severe sensor node constraints, protocol...
S. Selvakennedy, Sukunesan Sinnappan, Yi Shang
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 6 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
KDD
2007
ACM
156views Data Mining» more  KDD 2007»
14 years 6 months ago
Estimating rates of rare events at multiple resolutions
We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference at multiple resolutions. In pa...
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrab...