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TJS
2010
182views more  TJS 2010»
15 years 2 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
134
Voted
ECCB
2008
IEEE
15 years 10 months ago
Connect the dots: exposing hidden protein family connections from the entire sequence tree
Motivation: Mapping of remote evolutionary links is a classic computational problem of much interest. Relating protein families allows for functional and structural inference on u...
Yaniv Loewenstein, Michal Linial
135
Voted
BMCBI
2010
148views more  BMCBI 2010»
15 years 4 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
ESA
1998
Springer
169views Algorithms» more  ESA 1998»
15 years 8 months ago
Augmenting Suffix Trees, with Applications
Information retrieval and data compression are the two main application areas where the rich theory of string algorithmics plays a fundamental role. In this paper, we consider one ...
Yossi Matias, S. Muthukrishnan, Süleyman Cenk...
GBRPR
2009
Springer
15 years 7 months ago
Homeomorphic Alignment of Edge-Weighted Trees
Abstract. Motion capture, a currently active research area, needs estimation of the pose of the subject. This requires a match between a model and the 3D shape, constructed using a...
Benjamin Raynal, Michel Couprie, Venceslas Biri