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SDM
2007
SIAM
152views Data Mining» more  SDM 2007»
13 years 10 months ago
HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
Khaled M. Hammouda, Mohamed S. Kamel
TJS
2010
182views more  TJS 2010»
13 years 7 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
IRAL
2003
ACM
14 years 2 months ago
An approach for combining content-based and collaborative filters
In this work, we apply a clustering technique to integrate the contents of items into the item-based collaborative filtering framework. The group rating information that is obtain...
Qing Li, Byeong Man Kim
BMCBI
2011
13 years 3 months ago
Ultra-fast sequence clustering from similarity networks with SiLiX
Background: The number of gene sequences that are available for comparative genomics approaches is increasing extremely quickly. A current challenge is to be able to handle this h...
Vincent Miele, Simon Penel, Laurent Duret
BMCBI
2008
179views more  BMCBI 2008»
13 years 9 months ago
Building pathway clusters from Random Forests classification using class votes
Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
Herbert Pang, Hongyu Zhao