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KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 5 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
CORR
2008
Springer
158views Education» more  CORR 2008»
15 years 5 months ago
Improved Smoothed Analysis of the k-Means Method
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
Bodo Manthey, Heiko Röglin
EUSFLAT
2007
180views Fuzzy Logic» more  EUSFLAT 2007»
15 years 6 months ago
On Cluster Analysis Based on Fuzzy Relations Between Spatial Data
Methods like DBSCAN are widely used in the analysis of spatial data. These methods are based on the neighborhood relations which use distance between points. However, these neighb...
Efendi N. Nasibov, Gözde Ulutagay
BMCBI
2004
115views more  BMCBI 2004»
15 years 4 months ago
Quantifying the relationship between co-expression, co-regulation and gene function
Background: It is thought that genes with similar patterns of mRNA expression and genes with similar functions are likely to be regulated via the same mechanisms. It has been diff...
Dominic J. Allocco, Isaac S. Kohane, Atul J. Butte
BMCBI
2006
88views more  BMCBI 2006»
15 years 5 months ago
Effect of various normalization methods on Applied Biosystems expression array system data
Background: DNA microarray technology provides a powerful tool for characterizing gene expression on a genome scale. While the technology has been widely used in discovery-based m...
Catalin C. Barbacioru, Yulei Wang, Roger D. Canale...