Kai Ming Ting

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Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Geoff WebbProfessor of Information Technology Research, Monash UniversityVerified email at monash.edu
Ye Zhu, PhD, SMIEEESenior Lecturer of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Swee Chuan TanAssociate Professor, Singapore University of Social SciencesVerified email at suss.edu.sg
Guojun LuFederation University AustraliaVerified email at federation.edu.au
Dengsheng ZhangFederation University AustraliaVerified email at federation.edu.au
Sunil Aryal, PhD, FHEADeakin University AustraliaVerified email at deakin.edu.au
Ian H. WittenProfessor of Computer Science, University of Waikato, New ZealandVerified email at waikato.ac.nz
Zhouyu FuLead Researcher, Microsoft Research AsiaVerified email at microsoft.com
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
Mark J. CarmanPolitecnico di MilanoVerified email at polimi.it
David AlbrechtSenior Lecturer, Monash UniversityVerified email at monash.edu
Gholamreza (Reza) HaffariAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Guang-Tong ZhouFacebookVerified email at fb.com
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 PangAssistant Professor of Computer Science, Singapore Management UniversityVerified email at smu.edu.sg
Bo ChenSeeing MachinesVerified email at seeingmachines.com

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	3211	2008
Isolation-based anomaly detection FT Liu, KM Ting, ZH Zhou ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012	1172	2012
Issues in stacked generalization KM Ting, IH Witten Journal of artificial intelligence research 10, 271-289, 1999	803	1999
An instance-weighting method to induce cost-sensitive trees KM Ting IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002	554	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	515	2010
A comparative study of cost-sensitive boosting algorithms KM Ting In Proceedings of the 17th International Conference on Machine Learning, 2000	358	2000
Confusion matrix. KM Ting Encyclopedia of machine learning and data mining 260, 2017	353	2017
Stacking bagged and dagged models KM Ting, IH Witten	280	1997
Fast anomaly detection for streaming data SC Tan, KM Ting, TF Liu Twenty-second international joint conference on artificial intelligence, 2011	244	2011
Precision and Recall. KM Ting Encyclopedia of machine learning 781, 2010	223	2010
Stacked Generalization: when does it work? KM Ting, IH Witten Department of Computer Science, University of Waik, 1997	213	1997
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	176	2006
Inducing cost-sensitive trees via instance weighting KM Ting European symposium on principles of data mining and knowledge discovery, 139-147, 1998	133	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	116	2005
On detecting clustered anomalies using SCiForest FT Liu, KM Ting, ZH Zhou Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	115	2010
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	114	2012
Density-ratio based clustering for discovering clusters with varying densities Y Zhu, KM Ting, MJ Carman Pattern Recognition 60, 983-997, 2016	107	2016
The problem of small disjuncts: its remedy in decision trees KM Ting PROCEEDINGS OF THE BIENNIAL CONFERENCE-CANADIAN SOCIETY FOR COMPUTATIONAL …, 1994	94	1994
Spectrum of variable-random trees FT Liu, KM Ting, Y Yu, ZH Zhou Journal of Artificial Intelligence Research 32, 355-384, 2008	87	2008
Classification under streaming emerging new classes: A solution using completely-random trees X Mu, KM Ting, ZH Zhou IEEE Transactions on Knowledge and Data Engineering 29 (8), 1605-1618, 2017	86	2017

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