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» Medical data mining using evolutionary computation
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TKDE
2008
153views more  TKDE 2008»
15 years 2 months ago
Discovering Frequent Agreement Subtrees from Phylogenetic Data
We study a new data mining problem concerning the discovery of frequent agreement subtrees (FASTs) from a set of phylogenetic trees. A phylogenetic tree, or phylogeny, is an unorde...
Sen Zhang, Jason Tsong-Li Wang
KDD
2006
ACM
176views Data Mining» more  KDD 2006»
16 years 2 months ago
A framework for analysis of dynamic social networks
Finding patterns of social interaction within a population has wide-ranging applications including: disease modeling, cultural and information transmission, and behavioral ecology...
Tanya Y. Berger-Wolf, Jared Saia
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 2 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 9 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
126
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PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...