Kai Ming Ting

Cited by

	All	Since 2016
Citations	7715	4753
h-index	37	24
i10-index	79	51

1600

800

400

1200

199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202138 22 40 23 50 77 77 100 98 113 138 152 169 157 218 291 334 359 416 370 576 879 1356 1533 36

Co-authors

Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Geoff WebbProfessor of Information Technology Research, Monash UniversityVerified email at monash.edu
Guojun LuFederation University AustraliaVerified email at federation.edu.au
Dengsheng ZhangFederation University AustraliaVerified email at federation.edu.au
Swee Chuan TanSenior Lecturer, Singapore University of Social SciencesVerified email at suss.edu.sg
Ian H. WittenProfessor of Computer Science, University of Waikato, New ZealandVerified email at cs.waikato.ac.nz
Zhouyu FuLead Researcher, Microsoft Research AsiaVerified email at microsoft.com
Sunil AryalDeakin University AustraliaVerified email at deakin.edu.au
Ye Zhu (祝烨)Deakin UniversityVerified email at deakin.edu.au
Shyh Wei TengFederation University Australia - - School of Engineering, IT & Physical SciencesVerified email at federation.edu.au
Kevin B KorbReader, Computer Science, Monash UniversityVerified email at monash.edu
Gholamreza (Reza) HaffariAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Mark J. CarmanPolitecnico di MilanoVerified email at polimi.it
David AlbrechtSenior Lecturer, Monash UniversityVerified email at monash.edu
Guang-Tong ZhouFacebookVerified email at fb.com
Bo ChenThe University of AdelaideVerified email at adelaide.edu.au
Tharindu BandaragodaResearch Centre for Data Analytics & Cognition, La Trobe UniversityVerified email at latrobe.edu.au
Yang YuProfessor, Nanjing UniversityVerified email at nju.edu.cn
Xin MuNanjing UniversityVerified email at lamda.nju.edu.cn
Guansong PangUniversity of AdelaideVerified email at adelaide.edu.au

Kai Ming Ting

Nanjing University

Verified email at nju.edu.cn - Homepage

Machine Learning Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Isolation forest FT Liu, KM Ting, ZH Zhou 2008 Eighth IEEE International Conference on Data Mining, 413-422, 2008	1651	2008
Issues in stacked generalization KM Ting, IH Witten Journal of artificial intelligence research 10, 271-289, 1999	698	1999
Isolation-based anomaly detection FT Liu, KM Ting, ZH Zhou ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012	643	2012
An instance-weighting method to induce cost-sensitive trees KM Ting IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002	473	2002
A survey of audio-based music classification and annotation Z Fu, G Lu, KM Ting, D Zhang IEEE transactions on multimedia 13 (2), 303-319, 2010	444	2010
A comparative study of cost-sensitive boosting algorithms KM Ting In Proceedings of the 17th International Conference on Machine Learning, 2000	310	2000
Stacking bagged and dagged models KM Ting, IH Witten	227	1997
Stacked Generalization: when does it work? KM Ting, IH Witten Department of Computer Science, University of Waik, 1997	187	1997
Confusion Matrix. KM Ting Encyclopedia of Machine Learning and Data Mining 260, 2017	184	2017
Fast anomaly detection for streaming data SC Tan, KM Ting, TF Liu Twenty-Second International Joint Conference on Artificial Intelligence, 2011	151	2011
z-SVM: An SVM for improved classification of imbalanced data T Imam, KM Ting, J Kamruzzaman Australasian Joint Conference on Artificial Intelligence, 264-273, 2006	148	2006
Precision and recall KM Ting Encyclopedia of machine learning, 781-781, 2011	146	2011
Inducing cost-sensitive trees via instance weighting KM Ting European symposium on principles of data mining and knowledge discovery, 139-147, 1998	114	1998
On the application of ROC analysis to predict classification performance under varying class distributions GI Webb, KM Ting Machine learning 58 (1), 25-32, 2005	103	2005
Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification GI Webb, JR Boughton, F Zheng, KM Ting, H Salem Machine learning 86 (2), 233-272, 2012	100	2012
The problem of small disjuncts: its remedy in decision trees KM Ting PROCEEDINGS OF THE BIENNIAL CONFERENCE-CANADIAN SOCIETY FOR COMPUTATIONAL …, 1994	90	1994
On detecting clustered anomalies using SCiForest FT Liu, KM Ting, ZH Zhou Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	81	2010
Density-ratio based clustering for discovering clusters with varying densities Y Zhu, KM Ting, MJ Carman Pattern Recognition 60, 983-997, 2016	72	2016
Spectrum of variable-random trees FT Liu, KM Ting, Y Yu, ZH Zhou Journal of Artificial Intelligence Research 32, 355-384, 2008	71	2008
Boosting trees for cost-sensitive classifications KM Ting, Z Zheng European conference on machine learning, 190-195, 1998	62	1998

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors