Ying Yang

Publication Activity (10 Years)

Years Active: 2001-2009
Publications (10 Years): 0

Publications

Bei Hui, Ying Yang, Geoffrey I. Webb
Anytime classification for a pool of instances. Mach. Learn. 77 (1) (2009)
Ying Yang, Geoffrey I. Webb
Discretization for naive-Bayes learning: managing discretization bias and variance. Mach. Learn. 74 (1) (2009)
Bin Liu, Ying Yang, Geoffrey I. Webb, Janice R. Boughton
A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. PAKDD (2009)
Sattar Hashemi, Ying Yang, Zahra Mirzamomen, Mohammad Reza Kangavari
Adapted One-versus-All Decision Trees for Data Stream Classification. IEEE Trans. Knowl. Data Eng. 21 (5) (2009)
Sattar Hashemi, Ying Yang
Flexible decision tree for data stream classification in the presence of concept change, noise and missing values. Data Min. Knowl. Discov. 19 (1) (2009)
Sattar Hashemi, Mohammad Reza Kangavari, Ying Yang
Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams. Fundam. Informaticae 88 (1-2) (2008)
Xingquan Zhu, Ying Yang
A lazy bagging approach to classification. Pattern Recognit. 41 (10) (2008)
Ying Yang, Xindong Wu, Xingquan Zhu
Conceptual equivalence for contrast mining in classification learning. Data Knowl. Eng. 67 (3) (2008)
Sattar Hashemi, Ying Yang, Davoud Zabihzadeh, Mohammad Reza Kangavari
Detecting intrusion transactions in databases using data item dependencies and anomaly analysis. Expert Syst. J. Knowl. Eng. 25 (5) (2008)
Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. IEEE Trans. Knowl. Data Eng. 19 (12) (2007)
Sattar Hashemi, Ying Yang, Majid Pourkashani, Mohammad Reza Kangavari
To Better Handle Concept Change and Noise: A Cellular Automata Approach to Data Stream Classification. Australian Conference on Artificial Intelligence (2007)
Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting
Classifying under computational resource constraints: anytime classification using probabilistic estimators. Mach. Learn. 69 (1) (2007)
Jingli Lu, Ying Yang, Geoffrey I. Webb
Incremental Discretization for Naïve-Bayes Classifier. ADMA (2006)
Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. ECML (2006)
Xingquan Zhu, Xindong Wu, Ying Yang
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection. Knowl. Inf. Syst. 9 (3) (2006)
Ying Yang, Xindong Wu, Xingquan Zhu
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. Data Min. Knowl. Discov. 13 (3) (2006)
Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb
Ensemble Selection for SuperParent-One-Dependence Estimators. Australian Conference on Artificial Intelligence (2005)
Ying Yang, Xindong Wu, Xingquan Zhu
Combining proactive and reactive predictions for data streams. KDD (2005)
Ying Yang, Xindong Wu
Parameter Tuning for Induction-Algorithm-Oriented Feature Elimination. IEEE Intell. Syst. 19 (2) (2004)
Xingquan Zhu, Xindong Wu, Ying Yang
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams. ICDM (2004)
Xingquan Zhu, Xindong Wu, Ying Yang
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets. AAAI (2004)
Ying Yang, Xindong Wu, Xingquan Zhu
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources. PKDD (2004)
Ying Yang, Geoffrey I. Webb
Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. PAKDD (2003)
Ying Yang, Geoffrey I. Webb
On Why Discretization Works for Naive-Bayes Classifiers. Australian Conference on Artificial Intelligence (2003)
Ying Yang, Geoffrey I. Webb
Non-Disjoint Discretization for Naive-Bayes Classifiers. ICML (2002)
Ying Yang, Geoffrey I. Webb
Proportional k-Interval Discretization for Naive-Bayes Classifiers. ECML (2001)