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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 10 months ago
A Discriminant Analysis for Undersampled Data
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
Matthew Robards, Junbin Gao, Philip Charlton
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
15 years 9 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
15 years 9 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
KDD
1995
ACM
95views Data Mining» more  KDD 1995»
15 years 7 months ago
Limits on Learning Machine Accuracy Imposed by Data Quality
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
LREC
2008
166views Education» more  LREC 2008»
15 years 5 months ago
KnoFusius: a New Knowledge Fusion System for Interpretation of Gene Expression Data
This paper introduces a new architecture that aims at combining molecular biology data with information automatically extracted from scientific literature (using text mining techn...
Pavel Smrz