Ying Yang

According to our database, Ying Yang authored at least 32 papers between 2001 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Measurement Scales.

Ying Yang

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Discretization.

Ying Yang

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2010

Measurement Scales.

Ying Yang

Proceedings of the Encyclopedia of Machine Learning, 2010

Discretization.

Ying Yang

Proceedings of the Encyclopedia of Machine Learning, 2010

Discretization Methods.

Ying Yang, Geoffrey I. Webb, Xindong Wu

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

2009

Adapted One-versus-All Decision Trees for Data Stream Classification.

Sattar Hashemi, Ying Yang, Zahra Mirzamomen, Mohammad Reza Kangavari

IEEE Trans. Knowl. Data Eng., 2009

Discretization for naive-Bayes learning: managing discretization bias and variance.

Ying Yang, Geoffrey I. Webb

Mach. Learn., 2009

Anytime classification for a pool of instances.

Bei Hui, Ying Yang, Geoffrey I. Webb

Mach. Learn., 2009

Flexible decision tree for data stream classification in the presence of concept change, noise and missing values.

Sattar Hashemi, Ying Yang

Data Min. Knowl. Discov., 2009

A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification.

Bin Liu, Ying Yang, Geoffrey I. Webb, Janice R. Boughton

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008

A lazy bagging approach to classification.

Xingquan Zhu, Ying Yang

Pattern Recognit., 2008

Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams.

Sattar Hashemi, Mohammad Reza Kangavari, Ying Yang

Fundam. Informaticae, 2008

Detecting intrusion transactions in databases using data item dependencies and anomaly analysis.

Sattar Hashemi, Ying Yang, Davoud Zabihzadeh, Mohammad Reza Kangavari

Expert Syst. J. Knowl. Eng., 2008

Conceptual equivalence for contrast mining in classification learning.

Ying Yang, Xindong Wu, Xingquan Zhu

Data Knowl. Eng., 2008

2007

To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators.

Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting

IEEE Trans. Knowl. Data Eng., 2007

Classifying under computational resource constraints: anytime classification using probabilistic estimators.

Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting

Mach. Learn., 2007

To Better Handle Concept Change and Noise: A Cellular Automata Approach to Data Stream Classification.

Sattar Hashemi, Ying Yang, Majid Pourkashani, Mohammad Reza Kangavari

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

Effective classification of noisy data streams with attribute-oriented dynamic classifier selection.

Xingquan Zhu, Xindong Wu, Ying Yang

Knowl. Inf. Syst., 2006

Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams.

Ying Yang, Xindong Wu, Xingquan Zhu

Data Min. Knowl. Discov., 2006

To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.

Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting

Proceedings of the Machine Learning: ECML 2006, 2006

Incremental Discretization for Naïve-Bayes Classifier.

Jingli Lu, Ying Yang, Geoffrey I. Webb

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

Combining proactive and reactive predictions for data streams.

Ying Yang, Xindong Wu, Xingquan Zhu

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Ensemble Selection for SuperParent-One-Dependence Estimators.

Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Discretization Methods.

Ying Yang, Geoffrey I. Webb, Xindong Wu

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Parameter Tuning for Induction-Algorithm-Oriented Feature Elimination.

Ying Yang, Xindong Wu

IEEE Intell. Syst., 2004

Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.

Ying Yang, Xindong Wu, Xingquan Zhu

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Dynamic Classifier Selection for Effective Mining from Noisy Data Streams.

Xingquan Zhu, Xindong Wu, Ying Yang

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets.

Xingquan Zhu, Xindong Wu, Ying Yang

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers.

Ying Yang, Geoffrey I. Webb

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

On Why Discretization Works for Naive-Bayes Classifiers.

Ying Yang, Geoffrey I. Webb

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002

Non-Disjoint Discretization for Naive-Bayes Classifiers.

Ying Yang, Geoffrey I. Webb

Proceedings of the Machine Learning, 2002

2001

Proportional k-Interval Discretization for Naive-Bayes Classifiers.

Ying Yang, Geoffrey I. Webb

Proceedings of the Machine Learning: EMCL 2001, 2001