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ORCIDYing Yang 0001
Person information
- affiliation: Australian Taxation Office, Canberra, Australia
- affiliation: Monash University, Faculty of Information Technology, Melbourne, Australia
Other persons with the same name
- Ying Yang — disambiguation page
- Ying Yang 0002
![[0000-0001-6327-631X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6327-631X")
— Peking University, Department of Mechanics and Engineering Science, State Key Lab for Turbulence and Complex Systems, Beijing, China - Ying Yang 0003 — Amazon Web Services, Seattle, WA, USA (and 3 more)
- Ying Yang 0004 — University of Science and Technology of China, Hefei, China
- Ying Yang 0005 — University at Buffalo, SUNY, NY, USA
- Ying Yang 0006 — Huizhou University, College of Mathematics and Big Data Science, China
- Ying Yang 0007 — Carnegie Mellon University, Pittsburgh, PA, USA (and 1 more)
- Ying Yang 0008 — Shanghai Jiaotong University, School of Media and Design, Shanghai, China
- Ying Yang 0009 — Hefei University of Technology, School of Management, China
- Ying Yang 0010 — Nanjing University of Aeronautics and Astronautics, College of Electronic and Information Engineering, Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, China
- Ying Yang 0011 — Shanghai Polytechnic University, China
- Ying Yang 0012 — China Agricultural University, College of Information and Electrical Engineering, Beijing, China
- Ying Yang 0013 — Chongqing University, China
- Ying Yang 0014 — Guilin University of Electronic Technology, School of Mathematics and Computational Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, China
- Ying Yang 0015 — Aviation Industry of China, Standardization Department, China Aero-Polytechnology Establishment, Beijing, China
- Ying Yang 0016 — Xinxiang Medical University, School of Management, China
- Ying Yang 0017 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China (and 1 more)
- Ying Yang 0018 — Beijing University of Technology, Signal and Information Processing Laboratory, China
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2010 – 2019
- 2017
[r4]Ying Yang:
Discretization. Encyclopedia of Machine Learning and Data Mining 2017: 370-371- [r3]Ying Yang:
Measurement Scales. Encyclopedia of Machine Learning and Data Mining 2017: 808-809 - 2010
- [p2]Ying Yang, Geoffrey I. Webb, Xindong Wu:
Discretization Methods. Data Mining and Knowledge Discovery Handbook 2010: 101-116 - [r2]Ying Yang:
Discretization. Encyclopedia of Machine Learning 2010: 287-288 - [r1]Ying Yang:
Measurement Scales. Encyclopedia of Machine Learning 2010: 653-654
2000 – 2009
- 2009
- [j13]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): 95-131 (2009) - [j12]Ying Yang, Geoffrey I. Webb:
Discretization for naive-Bayes learning: managing discretization bias and variance. Mach. Learn. 74(1): 39-74 (2009) - [j11]Bei Hui, Ying Yang, Geoffrey I. Webb:
Anytime classification for a pool of instances. Mach. Learn. 77(1): 61-102 (2009) - [j10]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): 624-637 (2009) - [c13]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: 302-313 - 2008
- [j9]Ying Yang, Xindong Wu, Xingquan Zhu:
Conceptual equivalence for contrast mining in classification learning. Data Knowl. Eng. 67(3): 413-429 (2008) - [j8]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): 460-473 (2008) - [j7]Sattar Hashemi, Mohammad Reza Kangavari, Ying Yang:
Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams. Fundam. Informaticae 88(1-2): 135-160 (2008) - [j6]Xingquan Zhu, Ying Yang:
A lazy bagging approach to classification. Pattern Recognit. 41(10): 2980-2992 (2008) - 2007
- [j5]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): 35-53 (2007) - [j4]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): 1652-1665 (2007) - [c12]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: 669-674 - 2006
- [j3]Ying Yang, Xindong Wu, Xingquan Zhu:
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. Data Min. Knowl. Discov. 13(3): 261-289 (2006) - [j2]Xingquan Zhu, Xindong Wu, Ying Yang:
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection. Knowl. Inf. Syst. 9(3): 339-363 (2006) - [c11]Jingli Lu, Ying Yang, Geoffrey I. Webb:
Incremental Discretization for Naïve-Bayes Classifier. ADMA 2006: 223-238 - [c10]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: 533-544 - 2005
- [c9]Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb:
Ensemble Selection for SuperParent-One-Dependence Estimators. Australian Conference on Artificial Intelligence 2005: 102-112 - [c8]Ying Yang, Xindong Wu, Xingquan Zhu:
Combining proactive and reactive predictions for data streams. KDD 2005: 710-715 - [p1]Ying Yang, Geoffrey I. Webb, Xindong Wu:
Discretization Methods. The Data Mining and Knowledge Discovery Handbook 2005: 113-130 - 2004
- [j1]Ying Yang, Xindong Wu:
Parameter Tuning for Induction-Algorithm-Oriented Feature Elimination. IEEE Intell. Syst. 19(2): 40-49 (2004) - [c7]Xingquan Zhu, Xindong Wu, Ying Yang:
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets. AAAI 2004: 378-384 - [c6]Xingquan Zhu, Xindong Wu, Ying Yang:
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams. ICDM 2004: 305-312 - [c5]Ying Yang, Xindong Wu, Xingquan Zhu:
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources. PKDD 2004: 471-483 - 2003
- [c4]Ying Yang, Geoffrey I. Webb:
On Why Discretization Works for Naive-Bayes Classifiers. Australian Conference on Artificial Intelligence 2003: 440-452 - [c3]Ying Yang, Geoffrey I. Webb:
Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. PAKDD 2003: 501-512 - 2002
- [c2]Ying Yang, Geoffrey I. Webb:
Non-Disjoint Discretization for Naive-Bayes Classifiers. ICML 2002: 666-673 - 2001
- [c1]Ying Yang, Geoffrey I. Webb:
Proportional k-Interval Discretization for Naive-Bayes Classifiers. ECML 2001: 564-575
Coauthor Index
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