Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence
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SVM-OD: SVM Method to Detect Outliers1

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_7 ◽

2005 ◽

pp. 129-141

Author(s):

Jiaqi Wang ◽

Chengqi Zhang ◽

Xindong Wu ◽

Hongwei Qi ◽

Jue Wang

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Data Mining as Generalization: A Formal Model

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_6 ◽

2005 ◽

pp. 99-126

Author(s):

Ernestina Menasalvas1 ◽

Anita Wasilewska2

Keyword(s):

Data Mining ◽

Formal Model

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Foundations of Classification

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_5 ◽

2005 ◽

pp. 75-97 ◽

Cited By ~ 1

Author(s):

J. T. Yao ◽

Y. Y. Yao ◽

Y. Zhao

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Principal Component-based Anomaly Detection Scheme

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_18 ◽

2005 ◽

pp. 311-329 ◽

Cited By ~ 11

Author(s):

Mei-Ling Shyu ◽

Shu-Ching Chen ◽

Kanoksri Sarinnapakorn ◽

LiWu Chang

Keyword(s):

Anomaly Detection ◽

Principal Component ◽

Detection Scheme

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Statistical Independence as Linear Dependence in a Contingency Table

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_4 ◽

2005 ◽

pp. 61-73

Author(s):

Shusaku Tsumoto

Keyword(s):

Linear Dependence ◽

Contingency Table ◽

Statistical Independence

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Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_9 ◽

2005 ◽

pp. 155-167 ◽

Cited By ~ 8

Author(s):

Jan Rauch ◽

Milan šimůnek ◽

Václav Lín

Keyword(s):

Contingency Tables

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Privacy-Preserving Collaborative Data Mining

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_12 ◽

2005 ◽

pp. 213-227

Author(s):

Justin Zhan ◽

LiWu Chang ◽

Stan Matwin

Keyword(s):

Data Mining ◽

Privacy Preserving ◽

Collaborative Data Mining

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Multidimensional On-line Mining

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_14 ◽

2005 ◽

pp. 243-257

Author(s):

Ching-Yao Wang ◽

Tzung-Pei Hong ◽

Shian-Shyong Tseng

Keyword(s):

On Line

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Definability of Association Rules in Predicate Calculus

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_2 ◽

2005 ◽

pp. 23-40 ◽

Cited By ~ 7

Author(s):

Jan Rauch

Keyword(s):

Association Rules ◽

Predicate Calculus

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Quotient Space Based Cluster Analysis1

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence ◽

10.1007/11539827_15 ◽

2005 ◽

pp. 259-269 ◽

Cited By ~ 5

Author(s):

Ling Zhang Bo Zhang ◽

Bo Zhang

Keyword(s):

Quotient Space

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Foundations and Novel Approaches in Data Mining - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer-Verlag

SVM-OD: SVM Method to Detect Outliers1

Data Mining as Generalization: A Formal Model

Foundations of Classification

Principal Component-based Anomaly Detection Scheme

Statistical Independence as Linear Dependence in a Contingency Table

Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience

Privacy-Preserving Collaborative Data Mining

Multidimensional On-line Mining

Definability of Association Rules in Predicate Calculus

Quotient Space Based Cluster Analysis1

Foundations and Novel Approaches in Data Mining - Studies in Computational Intelligence
Latest Publications