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» Using Anonymized Data for Classification
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110
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JMLR
2010
99views more  JMLR 2010»
14 years 7 months ago
An Efficient Explanation of Individual Classifications using Game Theory
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
Erik Strumbelj, Igor Kononenko
KDD
2001
ACM
1203views Data Mining» more  KDD 2001»
16 years 29 days ago
Application of Data Mining Techniques for Medical Image Classification
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...
Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...
SSDBM
2007
IEEE
105views Database» more  SSDBM 2007»
15 years 6 months ago
Maintaining K-Anonymity against Incremental Updates
K-anonymity is a simple yet practical mechanism to protect privacy against attacks of re-identifying individuals by joining multiple public data sources. All existing methods achi...
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang 0009, Ke ...
CSDA
2006
100views more  CSDA 2006»
15 years 18 days ago
Identification of interaction patterns and classification with applications to microarray data
Emerging patterns represent a class of interaction structures which has been recently proposed as a tool in data mining. In this paper, a new and more general definition refering ...
Anne-Laure Boulesteix, Gerhard Tutz
82
Voted
IDEAL
2009
Springer
14 years 10 months ago
Optimizing Data Transformations for Classification Tasks
Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (...
José María Valls, Ricardo Aler