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KDD
2002
ACM
146views Data Mining» more  KDD 2002»
16 years 7 months ago
Closed Set Mining of Biological Data
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
John L. Pfaltz, Christopher M. Taylor
DEXAW
2003
IEEE
113views Database» more  DEXAW 2003»
16 years 11 days ago
Using Repertory Grids to Test Data Quality and Experts' Hunches
The ‘theorise-inquire’ technique is described, which supports the testing of both experts’ hunches and the quality of data sources. This technique is useful for the identifi...
Simone Stumpf, Janet McDonnell
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
15 years 10 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
RECOMB
2001
Springer
16 years 7 months ago
Class discovery in gene expression data
Recent studies (Alizadeh et al, [1]; Bittner et al,[5]; Golub et al, [11]) demonstrate the discovery of putative disease subtypes from gene expression data. The underlying computa...
Amir Ben-Dor, Nir Friedman, Zohar Yakhini
MICCAI
2009
Springer
16 years 4 months ago
Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties
Abstract. It has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynami...
Sylvain Gouttard, Marcel Prastawa, Elizabeth Bulli...