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SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
14 years 7 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
ICASSP
2011
IEEE
13 years 2 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
CIKM
2006
Springer
14 years 6 days ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
ECS
2006
89views more  ECS 2006»
13 years 10 months ago
Dynamic Decision Protocol For Adhoc Network
Several researches were conducted to Ad Hoc networks because of their facility of deployment, no need of an infrastructure and many other features. Thus, they still present many un...
Mohamed Ben Othman
GD
2004
Springer
14 years 3 months ago
Clustering Cycles into Cycles of Clusters
In this paper we study simple families of clustered graphs that are highly unconnected. We start by studying 3-cluster cycles, which are clustered graphs such that the underlying ...
Pier Francesco Cortese, Giuseppe Di Battista, Maur...