多标签数据挖掘技术研究综述

万方数据

万方数据

万方数据

万方数据

万方数据

万方数据

万方数据

万方数据

多标签数据挖掘技术:研究综述

作者：李思男， 李宁， 李战怀， LI Si-nan， LI Ning， LI Zhan-huai

作者单位：西北工业大学计算机学院 西安710129

刊名：

计算机科学

英文刊名：Computer Science

年，卷(期)：2013,40(4)

被引用次数：6次

1.Matthew R B;Luo Jie-bo;Shen Xi-peng Learning multi-label scene classification 2004(37)

2.Zhang Min-ling;Zhou Zhi-hua MI-kNN:A lazy learning approach to multi-label learning 2007(40)

3.Xu Xin-shun;Jiang Yuan;Peng Liang Ensemble approach based on conditional random field for multi-label image and video annotation 2011

4.Wang Jing-dong;Zhao Ying-hai;Wu Xiu-qing A transductive multi-label learning approach for video concept detection 2011(44)

5.Snoek C;Worring M;Gemert J V The challenge problem for automated detection of 101semantic concepts in multimedia 2006

6.Clare A;King R Knowledge discovery in multi-label phenotype data 2001

7.Elisseeff A;Weston J A kernel method for multi-labelled classifi cation 2001(14)

8.Blockeel H;Schietgat L;Struyf J Decision trees for hierarchical multilabel classification:A case study in functional genomics 2006

9.Cesa-Bianchi N;Gentile C;Zaniboni L Hierarchical classification:combining bayes with svm 2006

10.Li Guo-zheng;You Ming-yu;Ge Lei Feature selection for semi-supervised multi-label learning with application to gene function analysis 2010

11.Li Tao;Ogihara M Detecting emotion in music 2003

12.Sanden C;Zhang J Z Enhancing multi-label music genre classification through ensemble techniques 2011

13.Wieczorkowska A;Synak P;Ras Z Multi-label classification of emotions in music 2006

14.Trohidis K;Tsoumakas G;Kalliris G Multilabel classification of music into emotions 2008

15.Zhang Yi;Burer S;Street W N Ensemble pruning via semi-definite programming 2006(07)

16.Tsoumakas G;Katakis I;Vlahavas L Mining multi-label data (2nd edition) 2010

17.Lewis D D;Yang Yi-ming;Rose T G RCVI:A new benchmark collection for text categorization research 2004(05)

18.Veloso A;Weira M J;Zaki M Calibrated lazy associative classification 2008

19.Vembu S;Gartner T Label ranking algorithms:A survey 2009

20.Brinker K;Furnkranz J;Hullermeier E A unified model for multilabel classification and ranking 2006

21.Grigorios Tsoumakas;loannis Katakis Multi-Label Classification: An Overview[外文期刊] 2007(3)

22.Read J;Pfahringer B;Holmes G Classifier Chains for Multi-label Classification 2011(03)

23.Hullermeier, E;Furnkranz, J;Cheng, WW;Brinker, K Label ranking by learning pairwise preferences[外文期刊]

2008(16/17)

24.Mencia E L;Furnkranz J Pairwise learning of multilabel classifications with perceptrons 2008

25.Furnkranz J;Hullermeier E;Mencia E L Multi-label clas sification via calibrated label ranking 2008(02)

26.Read J A pruned problem transformation method for multi-label classification 2008

27.Tsoumakas G;Vlahavas I Random k-labelsets:An ensemble method for multilabel classification 2007

28.ROBERT E. SCHAPIRE;YORAM SINGER BoosTexter: A Boosting-based System for Text Categorization[外文期刊] 2000(2/3)

29.de Comite F;Gilleron R;Tommasi M Learning multi-label alternating decision trees from texts and data 2003

30.Zhang Min-ling;Zhou Zhi-hua Multi-label neural networks with applications to functional genomics and textcategorization 2006(18)

31.Crammer K;Singer Y A family of additive online algorithms for category ranking 2003(03)

32.Godbole S;Sarawagi S Discriminative methods for multi-labeled classification 2004

33.Luo Xiao;Zincir-Heywood A N Evaluation of two systems on multi-class multi-label document classification 2005

34.Xu Jian-hua Multi-label weighted k-nearest neighbor classifier with adaptive weight estimation 2011

35.Xu Jian-hua An efficient multi-label support vector machine with a zero label 2012(39)

36.Thabtah F;Cowling P;Peng Y MMAC:A new multi-class,multi-label associative classification approach 2004

37.Veloso A;Wagner M J;Goncalves M Multi-label lazy associative classification 2007

38.McCallum A Multi-label text classification with a mixture model trained by EM 1999

39.Ueda N;Saito K Parametric mixture models for multi-labeled text 2003(15)

40.Streich A P;Buhmann J M Classification of multi-labeled data:A generative approach 2008

41.Ghamrawi N;McCallum A Collective multi-label classification 2005

42.郑伟,王朝坤,刘璋,王建民一种基于随机游走模型的多标签分类算法[期刊论文]-计算机学报 2010(8)

43.Zhu Sheng-huo;Ji Xiang;Xu Wei Multi-labelled classification using maximum entropy method 2005

44.Yang Yi-ming An evaluation of statistical approaches to text categorization 1999(01)

45.牛罡,罗爱宝,商琳半监督文本分类综述[期刊论文]-计算机科学与探索 2011(4)

46.Yi Liu;Rong Jin;Liu Yang Semi-supervised Multi-label Learning by Constrained Non-Negative Matrix Factorization 2006

47.Zha Zheng-jun;Mei Tao;Wang Jing-dong Graph-Based Semi-supervised Learning with Multi-label 2008

48.Chen Gang;Song Yang-qiu;Wang Fei Semi-supervised Multi-label Learning by Solving a Sylvester Equation 2008

49.Chen W;Yan J;Zhang B Document transformation for multi-label feature selection in text categorization 2007

50.Cesa-Bianchi N;Gentile C;Zaniboni L Incremental algorithms for hierarchical classification 2006(07)

51.Andrea Esuli;Tiziano Fagni;Fabrizio Sebastiani Boosting multi-label hierarchical text categorization[外文期刊] 2008(4)

52.Tsoumakas G;Katakis I;Vlahavas L Effective and efficient multilabel classification in domains with large number of labels 2008

53.苏金树,张博锋,徐昕基于机器学习的文本分类技术研究进展[期刊论文]-软件学报 2006(9)

54.Chawla N V;Sylvester J C Exploiting diversity in ensembles.Improving the performance on unbalanced datasets 2007

55.Tahir M A;Kittler J;Ahmed Multilabel classification using heterogeneous ensemble of multi-label classifiers 2012(05)

56.Shi Chuan;Kong Xiang-nan;Yu P S Multi-label ensemble learning 2011

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引用本文格式：李思男.李宁.李战怀.LI Si-nan.LI Ning.LI Zhan-huai多标签数据挖掘技术:研究综述[期刊论文]-计算机科学2013(4)