Follow
Ying Yang
Ying Yang
Australian Taxation Office
Verified email at ato.gov.au
Title
Cited by
Cited by
Year
Discretization for naive-Bayes learning: managing discretization bias and variance
Y Yang, GI Webb
Machine learning 74, 39-74, 2009
3162009
A comparative study of discretization methods for naive-bayes classifiers
Y Yang, GI Webb
Proceedings of PKAW 2002, 2002
2602002
Discretization methods
Y Yang, GI Webb, X Wu
Data mining and knowledge discovery handbook, 101-116, 2010
1642010
Combining proactive and reactive predictions for data streams
Y Yang, X Wu, X Zhu
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
1632005
Proportional k-interval discretization for naive-Bayes classifiers
Y Yang, GI Webb
Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001
1632001
Mining in anticipation for concept change: Proactive-reactive prediction in data streams
Y Yang, X Wu, X Zhu
Data mining and knowledge discovery 13, 261-289, 2006
1362006
Adapted one-versus-all decision trees for data stream classification
S Hashemi, Y Yang, Z Mirzamomen, M Kangavari
IEEE Transactions on Knowledge and Data Engineering 21 (5), 624-637, 2008
1322008
On why discretization works for naive-bayes classifiers
Y Yang, GI Webb
Australasian Joint Conference on Artificial Intelligence, 440-452, 2003
1312003
Dynamic classifier selection for effective mining from noisy data streams
X Zhu, X Wu, Y Yang
Fourth IEEE International Conference on Data Mining (ICDM'04), 305-312, 2004
1222004
Error detection and impact-sensitive instance ranking in noisy datasets
X Zhu, X Wu, Y Yang
Proceedings of the national conference on artificial intelligence, 378-384, 2004
842004
Flexible decision tree for data stream classification in the presence of concept change, noise and missing values
S Hashemi, Y Yang
Data Mining and Knowledge Discovery 19, 95-131, 2009
832009
Weighted proportional k-interval discretization for naive-bayes classifiers
Y Yang, GI Webb
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 501-512, 2003
632003
Ensemble selection for superparent-one-dependence estimators
Y Yang, K Korb, KM Ting, GI Webb
AI 2005: Advances in Artificial Intelligence: 18th Australian Joint …, 2005
622005
To select or to weigh: A comparative study of linear combination schemes for superparent-one-dependence estimators
Y Yang, GI Webb, J Cerquides, KB Korb, J Boughton, KM Ting
IEEE Transactions on Knowledge and Data Engineering 19 (12), 1652-1665, 2007
612007
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection
X Zhu, X Wu, Y Yang
Knowledge and Information Systems 9, 339-363, 2006
492006
Classifying under computational resource constraints: anytime classification using probabilistic estimators
Y Yang, G Webb, K Korb, KM Ting
Machine Learning 69, 35-53, 2007
482007
Dealing with predictive-but-unpredictable attributes in noisy data sources
Y Yang, X Wu, X Zhu
Knowledge Discovery in Databases: PKDD 2004: 8th European Conference on …, 2004
482004
A lazy bagging approach to classification
X Zhu, Y Yang
Pattern Recognition 41 (10), 2980-2992, 2008
472008
Discretization for naive-bayes learning
Y Yang
Monash University, 2003
462003
Detecting intrusion transactions in databases using data item dependencies and anomaly analysis
S Hashemi, Y Yang, D Zabihzadeh, M Kangavari
Expert Systems 25 (5), 460-473, 2008
402008
The system can't perform the operation now. Try again later.
Articles 1–20