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
21722008
Isolation-based anomaly detection
FT Liu, KM Ting, ZH Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (1), 1-39, 2012
8312012
Issues in stacked generalization
KM Ting, IH Witten
Journal of artificial intelligence research 10, 271-289, 1999
7321999
An instance-weighting method to induce cost-sensitive trees
KM Ting
IEEE Transactions on Knowledge and Data Engineering 14 (3), 659-665, 2002
5122002
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
4772010
A comparative study of cost-sensitive boosting algorithms
KM Ting
In Proceedings of the 17th International Conference on Machine Learning, 2000
3352000
Confusion matrix.
KM Ting
Encyclopedia of Machine Learning and Data Mining 260, 2017
2522017
Stacking bagged and dagged models
KM Ting, IH Witten
2521997
Stacked Generalization: when does it work?
KM Ting, IH Witten
Department of Computer Science, University of Waik, 1997
1961997
Fast anomaly detection for streaming data
SC Tan, KM Ting, TF Liu
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
1752011
Precision and Recall.
KM Ting
Encyclopedia of machine learning 781, 2010
1742010
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
1562006
Inducing cost-sensitive trees via instance weighting
KM Ting
European symposium on principles of data mining and knowledge discovery, 139-147, 1998
1201998
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
1112005
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
1052012
On detecting clustered anomalies using SCiForest
FT Liu, KM Ting, ZH Zhou
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
962010
The problem of small disjuncts: its remedy in decision trees
KM Ting
PROCEEDINGS OF THE BIENNIAL CONFERENCE-CANADIAN SOCIETY FOR COMPUTATIONAL …, 1994
921994
Density-ratio based clustering for discovering clusters with varying densities
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 60, 983-997, 2016
822016
Spectrum of variable-random trees
FT Liu, KM Ting, Y Yu, ZH Zhou
Journal of Artificial Intelligence Research 32, 355-384, 2008
762008
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
712017
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Articles 1–20