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Kai Ming Ting
Kai Ming Ting
Adresse e-mail validée de nju.edu.cn - Page d'accueil
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Isolation forest
FT Liu, KM Ting, ZH Zhou
2008 eighth ieee international conference on data mining, 413-422, 2008
39532008
Isolation-based anomaly detection
FT Liu, KM Ting, ZH Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012
13762012
Issues in stacked generalization
KM Ting, IH Witten
Journal of artificial intelligence research 10, 271-289, 1999
8381999
An instance-weighting method to induce cost-sensitive trees
KM Ting
IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002
5792002
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
5452010
Confusion matrix
J Liang
POGIL Activity Clearinghouse 3 (4), 2022
4372022
A comparative study of cost-sensitive boosting algorithms
KM Ting
Proc. of the 17th International Conference on Machine Learning (ICML), 2000, 2000
3702000
Stacking bagged and dagged models
KM Ting, IH Witten
2991997
Fast anomaly detection for streaming data
SC Tan, KM Ting, TF Liu
Twenty-second international joint conference on artificial intelligence, 2011
2772011
Precision and Recall.
KM Ting
Encyclopedia of machine learning 781, 2010
2522010
Stacked Generalization: when does it work?
KM Ting, IH Witten
Department of Computer Science, University of Waik, 1997
2371997
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
1802006
Inducing cost-sensitive trees via instance weighting
KM Ting
Principles of Data Mining and Knowledge Discovery: Second European Symposium …, 1998
1391998
On detecting clustered anomalies using SCiForest
FT Liu, KM Ting, ZH Zhou
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
1352010
Density-ratio based clustering for discovering clusters with varying densities
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 60, 983-997, 2016
1232016
On the application of ROC analysis to predict classification performance under varying class distributions
GI Webb, KM Ting
Machine learning 58, 25-32, 2005
1182005
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
1152012
The problem of small disjuncts: its remedy in decision trees
KM Ting
PROCEEDINGS OF THE BIENNIAL CONFERENCE-CANADIAN SOCIETY FOR COMPUTATIONAL …, 1994
971994
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
952017
Spectrum of variable-random trees
FT Liu, KM Ting, Y Yu, ZH Zhou
Journal of Artificial Intelligence Research 32, 355-384, 2008
942008
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