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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
WWW
2008
ACM
15 years 10 months ago
Statistical analysis of the social network and discussion threads in slashdot
We analyze the social network emerging from the user comment activity on the website Slashdot. The network presents common features of traditional social networks such as a giant ...
Andreas Kaltenbrunner, Vicenç Gómez,...
BMCBI
2005
126views more  BMCBI 2005»
14 years 9 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
JIB
2008
87views more  JIB 2008»
14 years 9 months ago
2.5D Visualisation of Overlapping Biological Networks
Biological data is often structured in the form of complex interconnected networks such as protein interaction and metabolic networks. In this paper, we investigate a new problem ...
David Cho Yau Fung, Seok-Hee Hong, Dirk Koschü...
IWSEC
2009
Springer
15 years 4 months ago
Impossible Boomerang Attack for Block Cipher Structures
Impossible boomerang attack [5] (IBA) is a new variant of differential cryptanalysis against block ciphers. Evident from its name, it combines the ideas of both impossible differ...
Jiali Choy, Huihui Yap