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» Clustering Improves the Exploration of Graph Mining Results
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CIE
2007
Springer
15 years 7 months ago
The Complexity Ecology of Parameters: An Illustration Using Bounded Max Leaf Number
In the framework of parameterized complexity, exploring how one parameter affects the complexity of a different parameterized (or unparameterized problem) is of general interest....
Michael R. Fellows, Frances A. Rosamond
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 1 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
DCOSS
2005
Springer
15 years 7 months ago
Infrastructure-Establishment from Scratch in Wireless Sensor Networks
Abstract. We present a distributed, localized and integrated approach for establishing both low-level (i.e. exploration of 1-hop neighbors, interference avoidance) and high-level (...
Stefan Funke, Nikola Milosavljevic
EGPGV
2004
Springer
175views Visualization» more  EGPGV 2004»
15 years 7 months ago
Interactive Parallel Visualization of Large Particle Datasets
This paper presents a new interactive parallel method for direct visualization of large particle datasets. Based on a parallel rendering cluster, a frame rate of 9 frames-per-seco...
Kevin Liang, Patricia Monger, Huge Couchman
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 2 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang