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
12312008
Issues in stacked generalization
KM Ting, IH Witten
Journal of artificial intelligence research 10, 271-289, 1999
6591999
Isolation-based anomaly detection
FT Liu, KM Ting, ZH Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012
4992012
An instance-weighting method to induce cost-sensitive trees
KM Ting
IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002
4382002
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
4182010
A comparative study of cost-sensitive boosting algorithms
KM Ting
In Proceedings of the 17th International Conference on Machine Learning, 2000
2902000
Stacking bagged and dagged models
KM Ting, IH Witten
2161997
Stacked Generalization: when does it work?
KM Ting, IH Witten
Department of Computer Science, University of Waik, 1997
1831997
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
1462006
Confusion Matrix.
KM Ting
Encyclopedia of Machine Learning and Data Mining 260, 2017
1362017
Fast anomaly detection for streaming data
SC Tan, KM Ting, TF Liu
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
1322011
Precision and Recall.
KM Ting
Encyclopedia of machine learning 781, 2010
1142010
Inducing cost-sensitive trees via instance weighting
KM Ting
European symposium on principles of data mining and knowledge discovery, 139-147, 1998
1101998
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
932005
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
912012
The problem of small disjuncts: its remedy in decision trees
KM Ting
PROCEEDINGS OF THE BIENNIAL CONFERENCE-CANADIAN SOCIETY FOR COMPUTATIONAL …, 1994
891994
On detecting clustered anomalies using SCiForest
FT Liu, KM Ting, ZH Zhou
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
692010
Density-ratio based clustering for discovering clusters with varying densities
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 60, 983-997, 2016
622016
Discretization of continuous-valued attributes and instance-based learning
KM Ting
Basser Department of Computer Science, University of Sydney, 1994
611994
Boosting trees for cost-sensitive classifications
KM Ting, Z Zheng
European conference on machine learning, 190-195, 1998
601998
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