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» Clustering Improves the Exploration of Graph Mining Results
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CIE
2007
Springer
15 years 6 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 9 days 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 5 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 5 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 13 days 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