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» Graph Mining based on a Data Partitioning Approach
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105
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ICTAI
2007
IEEE
15 years 6 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
121
Voted
EURODAC
1990
IEEE
92views VHDL» more  EURODAC 1990»
15 years 4 months ago
Accelerated test pattern generation by cone-oriented circuit partitioning
In this paper an efficient cone oriented circuit partitioning method is presented, which significantly speeds up automatic test pattern generation for combinational circuits. The ...
Torsten Grüning, Udo Mahlstedt, Wilfried Daeh...
118
Voted
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 2 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
15 years 2 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
CLUSTER
2000
IEEE
15 years 5 months ago
Partition Repositories for Partition Cloning - OS Independent Software Maintenance in Large Clusters of PCs
As a novel approach to software maintenance in large clusters of PCs requiring multiple OS installations we implemented partition cloning and partition repositories as well as a s...
Felix Rauch, Christian Kurmann, Thomas Stricker