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» Medical data mining using evolutionary computation
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154
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TKDE
2008
153views more  TKDE 2008»
15 years 3 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
122
Voted
KDD
2006
ACM
176views Data Mining» more  KDD 2006»
16 years 4 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 4 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...
109
Voted
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 10 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
132
Voted
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
15 years 9 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...