Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642302169, 9783642302176

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Building Decision Trees for the Multi-class Imbalance Problem

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_11 ◽

2012 ◽

pp. 122-134 ◽

Cited By ~ 20

Author(s):

T. Ryan Hoens ◽

Qi Qian ◽

Nitesh V. Chawla ◽

Zhi-Hua Zhou

Keyword(s):

Decision Trees ◽

Class Imbalance ◽

Class Imbalance Problem ◽

Imbalance Problem

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Neighborhood-Based Smoothing of External Cluster Validity Measures

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_30 ◽

2012 ◽

pp. 354-365 ◽

Cited By ~ 10

Author(s):

Ken-ichi Fukui ◽

Masayuki Numao

Keyword(s):

Cluster Validity ◽

Validity Measures

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Privacy-Preserving EM Algorithm for Clustering on Social Network

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_45 ◽

2012 ◽

pp. 542-553 ◽

Cited By ~ 2

Author(s):

Bin Yang ◽

Issei Sato ◽

Hiroshi Nakagawa

Keyword(s):

Social Network ◽

Em Algorithm ◽

Privacy Preserving

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Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_36 ◽

2012 ◽

pp. 431-443 ◽

Cited By ~ 23

Author(s):

Kuifei Yu ◽

Baoxian Zhang ◽

Hengshu Zhu ◽

Huanhuan Cao ◽

Jilei Tian

Keyword(s):

Topic Models ◽

Context Aware

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Clustering and Understanding Documents via Discrimination Information Maximization

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_47 ◽

2012 ◽

pp. 566-577 ◽

Cited By ~ 1

Author(s):

Malik Tahir Hassan ◽

Asim Karim

Keyword(s):

Information Maximization ◽

Discrimination Information

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Extreme Value Prediction for Zero-Inflated Data

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_27 ◽

2012 ◽

pp. 318-329

Author(s):

Fan Xin ◽

Zubin Abraham

Keyword(s):

Extreme Value ◽

Value Prediction

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Learning Tree Structure of Label Dependency for Multi-label Learning

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_14 ◽

2012 ◽

pp. 159-170 ◽

Cited By ~ 2

Author(s):

Bin Fu ◽

Zhihai Wang ◽

Rong Pan ◽

Guandong Xu ◽

Peter Dolog

Keyword(s):

Tree Structure

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Scalable Random Forests for Massive Data

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_12 ◽

2012 ◽

pp. 135-146 ◽

Cited By ~ 11

Author(s):

Bingguo Li ◽

Xiaojun Chen ◽

Mark Junjie Li ◽

Joshua Zhexue Huang ◽

Shengzhong Feng

Keyword(s):

Random Forests ◽

Massive Data

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Exploiting Label Dependency for Hierarchical Multi-label Classification

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_25 ◽

2012 ◽

pp. 294-305 ◽

Cited By ~ 9

Author(s):

Noor Alaydie ◽

Chandan K. Reddy ◽

Farshad Fotouhi

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Incremental Set Recommendation Based on Class Differences

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-30217-6_16 ◽

2012 ◽

pp. 183-194 ◽

Cited By ~ 3

Author(s):

Yasuyuki Shirai ◽

Koji Tsuruma ◽

Yuko Sakurai ◽

Satoshi Oyama ◽

Shin-ichi Minato

Keyword(s):

Class Differences

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Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Building Decision Trees for the Multi-class Imbalance Problem

Neighborhood-Based Smoothing of External Cluster Validity Measures

Privacy-Preserving EM Algorithm for Clustering on Social Network

Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models

Clustering and Understanding Documents via Discrimination Information Maximization

Extreme Value Prediction for Zero-Inflated Data

Learning Tree Structure of Label Dependency for Multi-label Learning

Scalable Random Forests for Massive Data

Exploiting Label Dependency for Hierarchical Multi-label Classification

Incremental Set Recommendation Based on Class Differences

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
Latest Publications