Ying Yang - RankMe

32 papers A* 4B 2C 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2017	—	`ch.`	Discretization. Encyclopedia of Machine Learning and Data Mining Ying Yang
2017	—	`ch.`	Measurement Scales. Encyclopedia of Machine Learning and Data Mining Ying Yang
2010	—	`ch.`	Discretization Methods. Data Mining and Knowledge Discovery Handbook Ying Yang, Geoffrey I. Webb, Xindong Wu
2010	—	`ch.`	Discretization. Encyclopedia of Machine Learning Ying Yang
2010	—	`ch.`	Measurement Scales. Encyclopedia of Machine Learning Ying Yang
2009	B	`conf`	A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. PAKDD Bin Liu, Ying Yang, Geoffrey I. Webb, Janice R. Boughton
2009	J	`jnl`	Adapted One-versus-All Decision Trees for Data Stream Classification. IEEE Trans. Knowl. Data Eng. Sattar Hashemi, Ying Yang, Zahra Mirzamomen, Mohammad Reza Kangavari
2009	J	`jnl`	Anytime classification for a pool of instances. Mach. Learn. Bei Hui, Ying Yang, Geoffrey I. Webb
2009	J	`jnl`	Discretization for naive-Bayes learning: managing discretization bias and variance. Mach. Learn. Ying Yang, Geoffrey I. Webb
2009	J	`jnl`	Flexible decision tree for data stream classification in the presence of concept change, noise and missing values. Data Min. Knowl. Discov. Sattar Hashemi, Ying Yang
2008	J	`jnl`	A lazy bagging approach to classification. Pattern Recognit. Xingquan Zhu, Ying Yang
2008	J	`jnl`	Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams. Fundam. Informaticae Sattar Hashemi, Mohammad Reza Kangavari, Ying Yang
2008	J	`jnl`	Conceptual equivalence for contrast mining in classification learning. Data Knowl. Eng. Ying Yang, Xindong Wu, Xingquan Zhu
2008	J	`jnl`	Detecting intrusion transactions in databases using data item dependencies and anomaly analysis. Expert Syst. J. Knowl. Eng. Sattar Hashemi, Ying Yang, Davoud Zabihzadeh, Mohammad Reza Kangavari
2007	J	`jnl`	Classifying under computational resource constraints: anytime classification using probabilistic estimators. Mach. Learn. Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting
2007	—	`conf`	To Better Handle Concept Change and Noise: A Cellular Automata Approach to Data Stream Classification. Australian Conference on Artificial Intelligence Sattar Hashemi, Ying Yang, Majid Pourkashani, Mohammad Reza Kangavari
2007	J	`jnl`	To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. IEEE Trans. Knowl. Data Eng. Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
2006	J	`jnl`	Effective classification of noisy data streams with attribute-oriented dynamic classifier selection. Knowl. Inf. Syst. Xingquan Zhu, Xindong Wu, Ying Yang
2006	C	`conf`	Incremental Discretization for Naïve-Bayes Classifier. ADMA Jingli Lu, Ying Yang, Geoffrey I. Webb
2006	J	`jnl`	Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. Data Min. Knowl. Discov. Ying Yang, Xindong Wu, Xingquan Zhu
2006	—	`conf`	To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. ECML Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting
2005	A*	`conf`	Combining proactive and reactive predictions for data streams. KDD Ying Yang, Xindong Wu, Xingquan Zhu
2005	—	`ch.`	Discretization Methods. The Data Mining and Knowledge Discovery Handbook Ying Yang, Geoffrey I. Webb, Xindong Wu
2005	—	`conf`	Ensemble Selection for SuperParent-One-Dependence Estimators. Australian Conference on Artificial Intelligence Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb
2004	—	`conf`	Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources. PKDD Ying Yang, Xindong Wu, Xingquan Zhu
2004	A*	`conf`	Dynamic Classifier Selection for Effective Mining from Noisy Data Streams. ICDM Xingquan Zhu, Xindong Wu, Ying Yang
2004	A*	`conf`	Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets. AAAI Xingquan Zhu, Xindong Wu, Ying Yang
2004	J	`jnl`	Parameter Tuning for Induction-Algorithm-Oriented Feature Elimination. IEEE Intell. Syst. Ying Yang, Xindong Wu
2003	—	`conf`	On Why Discretization Works for Naive-Bayes Classifiers. Australian Conference on Artificial Intelligence Ying Yang, Geoffrey I. Webb
2003	B	`conf`	Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. PAKDD Ying Yang, Geoffrey I. Webb
2002	A*	`conf`	Non-Disjoint Discretization for Naive-Bayes Classifiers. ICML Ying Yang, Geoffrey I. Webb
2001	—	`conf`	Proportional k-Interval Discretization for Naive-Bayes Classifiers. ECML Ying Yang, Geoffrey I. Webb