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KDD
1995
ACM
216views Data Mining» more  KDD 1995»
15 years 10 months ago
Robust Decision Trees: Removing Outliers from Databases
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
George H. John
WSOM
2009
Springer
16 years 1 months ago
Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map
The complex phenomena of political science are typically studied using qualitative approach, potentially supported by hypothesisdriven statistical analysis of some numerical data. ...
Pyry Niemelä, Timo Honkela
ICDM
2006
IEEE
118views Data Mining» more  ICDM 2006»
16 years 26 days ago
Generalizing Version Space Support Vector Machines for Non-Separable Data
Although version space support vector machines (VSSVMs) are a successful approach to reliable classification [6], they are restricted to separable data. This paper proposes gener...
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Ni...
ICDM
2006
IEEE
169views Data Mining» more  ICDM 2006»
16 years 26 days ago
Privacy-Preserving Data Imputation
In this paper, we investigate privacy-preserving data imputation on distributed databases. We present a privacypreserving protocol for filling in missing values using a lazy deci...
Geetha Jagannathan, Rebecca N. Wright
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 1 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