Kai Ming Ting
Kai Ming Ting
Verified email at nju.edu.cn - Homepage
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
16512008
Issues in stacked generalization
KM Ting, IH Witten
Journal of artificial intelligence research 10, 271-289, 1999
6981999
Isolation-based anomaly detection
FT Liu, KM Ting, ZH Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012
6432012
An instance-weighting method to induce cost-sensitive trees
KM Ting
IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002
4732002
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
4442010
A comparative study of cost-sensitive boosting algorithms
KM Ting
In Proceedings of the 17th International Conference on Machine Learning, 2000
3102000
Stacking bagged and dagged models
KM Ting, IH Witten
2271997
Stacked Generalization: when does it work?
KM Ting, IH Witten
Department of Computer Science, University of Waik, 1997
1871997
Confusion Matrix.
KM Ting
Encyclopedia of Machine Learning and Data Mining 260, 2017
1842017
Fast anomaly detection for streaming data
SC Tan, KM Ting, TF Liu
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
1512011
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
1482006
Precision and recall
KM Ting
Encyclopedia of machine learning, 781-781, 2011
1462011
Inducing cost-sensitive trees via instance weighting
KM Ting
European symposium on principles of data mining and knowledge discovery, 139-147, 1998
1141998
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
1032005
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
1002012
The problem of small disjuncts: its remedy in decision trees
KM Ting
PROCEEDINGS OF THE BIENNIAL CONFERENCE-CANADIAN SOCIETY FOR COMPUTATIONAL …, 1994
901994
On detecting clustered anomalies using SCiForest
FT Liu, KM Ting, ZH Zhou
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
812010
Density-ratio based clustering for discovering clusters with varying densities
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 60, 983-997, 2016
722016
Spectrum of variable-random trees
FT Liu, KM Ting, Y Yu, ZH Zhou
Journal of Artificial Intelligence Research 32, 355-384, 2008
712008
Boosting trees for cost-sensitive classifications
KM Ting, Z Zheng
European conference on machine learning, 190-195, 1998
621998
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