Coverart for item
The Resource Advances in knowledge discovery and data mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I, Pang-Ning Tan...[et al.] (eds.), (electronic book)

Advances in knowledge discovery and data mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I, Pang-Ning Tan...[et al.] (eds.), (electronic book)

Label
Advances in knowledge discovery and data mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I
Title
Advances in knowledge discovery and data mining
Title remainder
16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings
Title number
Part I
Statement of responsibility
Pang-Ning Tan...[et al.] (eds.)
Creator
Contributor
Subject
Genre
Language
eng
Member of
Cataloging source
GW5XE
Dewey number
006.3/12
Index
index present
LC call number
QA76.9.D343
LC item number
P33 2012
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2012
http://bibfra.me/vocab/lite/meetingName
Pacific-Asia Conference on Knowledge Discovery and Data Mining
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Tan, Pang-Ning
Series statement
  • Lecture notes in artificial intelligence
  • Lecture notes in computer science,
  • LNCS sublibrary. SL 7, Artificial intelligence
Series volume
7301
http://library.link/vocab/subjectName
Data mining
Label
Advances in knowledge discovery and data mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I, Pang-Ning Tan...[et al.] (eds.), (electronic book)
Instantiates
Publication
Note
International conference proceedings
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Color
multicolored
Contents
  • Techniques for Efficient Learning without Search
  • Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb and Janice R. Boughton
  • An Aggressive Margin-Based Algorithm for Incremental Learning
  • JuiHsi Fu and SingLing Lee
  • Two-View Online Learning
  • Tam T. Nguyen, Kuiyu Chang and Siu Cheung Hui
  • A Generic Classifier-Ensemble Approach for Biomedical Named Entity Recognition
  • Zhihua Liao and Zili Zhang
  • Neighborhood Random Classification
  • Djamel Abdelkader Zighed, Diala Ezzeddine and Fabien Rico
  • Time-Evolving Relational Classification and Ensemble Methods
  • SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise
  • Katsiaryna Mirylenka, George Giannakopoulos and Themis Palpanas
  • Building Decision Trees for the Multi-class Imbalance Problem
  • T. Ryan Hoens, Qi Qian, Nitesh V. Chawla and Zhi-Hua Zhou
  • Scalable Random Forests for Massive Data
  • Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang and Shengzhong Feng
  • Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data
  • Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Mark Junjie Li and Yunming Ye
  • Ryan Rossi and Jennifer Neville
  • Active Learning for Hierarchical Text Classification
  • Xiao Li, Da Kuang and Charles X. Ling
  • TeamSkill Evolved: Mixed Classification Schemes for Team-Based Multi-player Games
  • Colin DeLong and Jaideep Srivastava
  • A Novel Weighted Ensemble Technique for Time Series Forecasting
  • Ratnadip Adhikari and R. K. Agrawal
  • Evasion Attack of Multi-class Linear Classifiers
  • Han Xiao, Thomas Stibor and Claudia Eckert
  • Foundation of Mining Class-Imbalanced Data
  • Da Kuang, Charles X. Ling and Jun Du
  • Active Learning with c-Certainty
  • Eileen A. Ni and Charles X. Ling
  • A Term Association Translation Model for Naive Bayes Text Classification
  • Meng-Sung Wu and Hsin-Min Wang
  • A Double-Ensemble Approach for Classifying Skewed Data Streams
  • Chongsheng Zhang and Paolo Soda
  • Learning Tree Structure of Label Dependency for Multi-label Learning
  • Generating Balanced Classifier-Independent Training Samples from Unlabeled Data
  • Youngja Park, Zijie Qi, Suresh N. Chari and Ian M. Molloy
  • Nyström Approximate Model Selection for LSSVM
  • Lizhong Ding and Shizhong Liao
  • Exploiting Label Dependency for Hierarchical Multi-label Classification
  • Noor Alaydie, Chandan K. Reddy and Farshad Fotouhi
  • Diversity Analysis on Boosting Nominal Concepts
  • Nida Meddouri, Héla Khoufi and Mondher Sadok Maddouri
  • Extreme Value Prediction for Zero-Inflated Data
  • Fan Xin and Zubin Abraham
  • Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu and Peter Dolog
  • Multiple Instance Learning for Group Record Linkage
  • Zhichun Fu, Jun Zhou, Peter Christen and Mac Boot
  • Incremental Set Recommendation Based on Class Differences
  • Yasuyuki Shirai, Koji Tsuruma, Yuko Sakurai, Satoshi Oyama and Shin-ichi Minato
  • Active Learning for Cross Language Text Categorization
  • Yue Liu, Lin Dai, Weitao Zhou and Heyan Huang
  • Pu Wang, Carlotta Domeniconi, Huzefa Rangwala and Kathryn B. Laskey
  • Shape-Based Clustering for Time Series Data
  • Warissara Meesrikamolkul, Vit Niennattrakul and Chotirat Ann Ratanamahatana
  • Privacy-Preserving EM Algorithm for Clustering on Social Network
  • Bin Yang, Issei Sato and Hiroshi Nakagawa
  • Named Entity Recognition and Identification for Finding the Owner of a Home Page
  • Vassilis Plachouras, Matthieu Rivière and Michalis Vazirgiannis
  • Clustering and Understanding Documents via Discrimination Information Maximization
  • Malik Tahir Hassan and Asim Karim
  • A Semi-supervised Incremental Clustering Algorithm for Streaming Data
  • Maria Halkidi, Myra Spiliopoulou and Aikaterini Pavlou
  • Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence
  • Anastasios Zouzias, Michail Vlachos and Nikolaos M. Freris
  • Expectation-Maximization Collaborative Filtering with Explicit and Implicit Feedback
  • Bin Wang, Mohammadreza Rahimi, Dequan Zhou and Xin Wang
  • Unsupervised Multi-label Text Classification Using a World Knowledge Ontology
  • Xiaohui Tao, Yuefeng Li, Raymond Y. K. Lau and Hua Wang
  • Semantic Social Network Analysis with Text Corpora
  • Dong-mei Yang, Hui Zheng, Ji-kun Yan and Ye Jin
  • Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery
  • Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao and Kun Huang
  • Feature Enriched Nonparametric Bayesian Co-clustering
Control code
SPR793813693
Dimensions
unknown
Extent
1 online resource (xxiii, 619 p.)
File format
unknown
Form of item
online
Isbn
9783642302169
Level of compression
unknown
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote
Label
Advances in knowledge discovery and data mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I, Pang-Ning Tan...[et al.] (eds.), (electronic book)
Publication
Note
International conference proceedings
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Color
multicolored
Contents
  • Techniques for Efficient Learning without Search
  • Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb and Janice R. Boughton
  • An Aggressive Margin-Based Algorithm for Incremental Learning
  • JuiHsi Fu and SingLing Lee
  • Two-View Online Learning
  • Tam T. Nguyen, Kuiyu Chang and Siu Cheung Hui
  • A Generic Classifier-Ensemble Approach for Biomedical Named Entity Recognition
  • Zhihua Liao and Zili Zhang
  • Neighborhood Random Classification
  • Djamel Abdelkader Zighed, Diala Ezzeddine and Fabien Rico
  • Time-Evolving Relational Classification and Ensemble Methods
  • SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise
  • Katsiaryna Mirylenka, George Giannakopoulos and Themis Palpanas
  • Building Decision Trees for the Multi-class Imbalance Problem
  • T. Ryan Hoens, Qi Qian, Nitesh V. Chawla and Zhi-Hua Zhou
  • Scalable Random Forests for Massive Data
  • Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang and Shengzhong Feng
  • Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data
  • Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Mark Junjie Li and Yunming Ye
  • Ryan Rossi and Jennifer Neville
  • Active Learning for Hierarchical Text Classification
  • Xiao Li, Da Kuang and Charles X. Ling
  • TeamSkill Evolved: Mixed Classification Schemes for Team-Based Multi-player Games
  • Colin DeLong and Jaideep Srivastava
  • A Novel Weighted Ensemble Technique for Time Series Forecasting
  • Ratnadip Adhikari and R. K. Agrawal
  • Evasion Attack of Multi-class Linear Classifiers
  • Han Xiao, Thomas Stibor and Claudia Eckert
  • Foundation of Mining Class-Imbalanced Data
  • Da Kuang, Charles X. Ling and Jun Du
  • Active Learning with c-Certainty
  • Eileen A. Ni and Charles X. Ling
  • A Term Association Translation Model for Naive Bayes Text Classification
  • Meng-Sung Wu and Hsin-Min Wang
  • A Double-Ensemble Approach for Classifying Skewed Data Streams
  • Chongsheng Zhang and Paolo Soda
  • Learning Tree Structure of Label Dependency for Multi-label Learning
  • Generating Balanced Classifier-Independent Training Samples from Unlabeled Data
  • Youngja Park, Zijie Qi, Suresh N. Chari and Ian M. Molloy
  • Nyström Approximate Model Selection for LSSVM
  • Lizhong Ding and Shizhong Liao
  • Exploiting Label Dependency for Hierarchical Multi-label Classification
  • Noor Alaydie, Chandan K. Reddy and Farshad Fotouhi
  • Diversity Analysis on Boosting Nominal Concepts
  • Nida Meddouri, Héla Khoufi and Mondher Sadok Maddouri
  • Extreme Value Prediction for Zero-Inflated Data
  • Fan Xin and Zubin Abraham
  • Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu and Peter Dolog
  • Multiple Instance Learning for Group Record Linkage
  • Zhichun Fu, Jun Zhou, Peter Christen and Mac Boot
  • Incremental Set Recommendation Based on Class Differences
  • Yasuyuki Shirai, Koji Tsuruma, Yuko Sakurai, Satoshi Oyama and Shin-ichi Minato
  • Active Learning for Cross Language Text Categorization
  • Yue Liu, Lin Dai, Weitao Zhou and Heyan Huang
  • Pu Wang, Carlotta Domeniconi, Huzefa Rangwala and Kathryn B. Laskey
  • Shape-Based Clustering for Time Series Data
  • Warissara Meesrikamolkul, Vit Niennattrakul and Chotirat Ann Ratanamahatana
  • Privacy-Preserving EM Algorithm for Clustering on Social Network
  • Bin Yang, Issei Sato and Hiroshi Nakagawa
  • Named Entity Recognition and Identification for Finding the Owner of a Home Page
  • Vassilis Plachouras, Matthieu Rivière and Michalis Vazirgiannis
  • Clustering and Understanding Documents via Discrimination Information Maximization
  • Malik Tahir Hassan and Asim Karim
  • A Semi-supervised Incremental Clustering Algorithm for Streaming Data
  • Maria Halkidi, Myra Spiliopoulou and Aikaterini Pavlou
  • Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence
  • Anastasios Zouzias, Michail Vlachos and Nikolaos M. Freris
  • Expectation-Maximization Collaborative Filtering with Explicit and Implicit Feedback
  • Bin Wang, Mohammadreza Rahimi, Dequan Zhou and Xin Wang
  • Unsupervised Multi-label Text Classification Using a World Knowledge Ontology
  • Xiaohui Tao, Yuefeng Li, Raymond Y. K. Lau and Hua Wang
  • Semantic Social Network Analysis with Text Corpora
  • Dong-mei Yang, Hui Zheng, Ji-kun Yan and Ye Jin
  • Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery
  • Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao and Kun Huang
  • Feature Enriched Nonparametric Bayesian Co-clustering
Control code
SPR793813693
Dimensions
unknown
Extent
1 online resource (xxiii, 619 p.)
File format
unknown
Form of item
online
Isbn
9783642302169
Level of compression
unknown
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote

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