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
Sunil Aryal, PhD, FHEADeakin University AustraliaVerified email at deakin.edu.au
Guojun LuFederation University AustraliaVerified email at federation.edu.au
Dengsheng ZhangFederation University AustraliaVerified email at federation.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 - Institute of Innovation, Science & SustainabilityVerified email at federation.edu.au
Kevin B KorbReader, Computer Science, Monash UniversityVerified email at monash.edu
Mark J. CarmanAssociate Professor, DEIB, Politecnico di MilanoVerified email at polimi.it
David AlbrechtSenior Lecturer, Monash UniversityVerified email at monash.edu
Gholamreza (Reza) HaffariProfessor, DSAI Dept, 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
Guansong PangAssistant Professor of Computer Science, Singapore Management UniversityVerified email at smu.edu.sg
Xin MuPeng Cheng LaboratoryVerified email at lamda.nju.edu.cn
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	4425	2008
Isolation-based anomaly detection FT Liu, KM Ting, ZH Zhou ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012	1525	2012
Issues in stacked generalization KM Ting, IH Witten Journal of artificial intelligence research 10, 271-289, 1999	853	1999
An instance-weighting method to induce cost-sensitive trees KM Ting IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002	591	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	560	2010
A comparative study of cost-sensitive boosting algorithms KM Ting Proc. of the 17th International Conference on Machine Learning (ICML), 2000, 2000	371	2000
Stacking bagged and dagged models KM Ting, IH Witten	305	1997
Fast anomaly detection for streaming data SC Tan, KM Ting, TF Liu Twenty-second international joint conference on artificial intelligence, 2011	293	2011
Precision and Recall. KM Ting Encyclopedia of machine learning 781, 2010	265	2010
Stacked Generalization: when does it work? KM Ting, IH Witten Department of Computer Science, University of Waik, 1997	244	1997
z-SVM: An SVM for improved classification of imbalanced data T Imam, KM Ting, J Kamruzzaman AI 2006: Advances in Artificial Intelligence: 19th Australian Joint …, 2006	186	2006
On detecting clustered anomalies using SCiForest FT Liu, KM Ting, ZH Zhou Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	153	2010
Inducing cost-sensitive trees via instance weighting KM Ting Principles of Data Mining and Knowledge Discovery: Second European Symposium …, 1998	144	1998
Density-ratio based clustering for discovering clusters with varying densities Y Zhu, KM Ting, MJ Carman Pattern Recognition 60, 983-997, 2016	129	2016
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, 233-272, 2012	119	2012
On the application of ROC analysis to predict classification performance under varying class distributions GI Webb, KM Ting Machine learning 58, 25-32, 2005	119	2005
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	101	2017
Spectrum of variable-random trees FT Liu, KM Ting, Y Yu, ZH Zhou Journal of Artificial Intelligence Research 32, 355-384, 2008	101	2008
The problem of small disjuncts: its remedy in decision trees KM Ting PROCEEDINGS OF THE BIENNIAL CONFERENCE-CANADIAN SOCIETY FOR COMPUTATIONAL …, 1994	98	1994
Multi-label learning with emerging new labels Y Zhu, KM Ting, ZH Zhou IEEE Transactions on Knowledge and Data Engineering 30 (10), 1901-1914, 2018	92	2018

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