Zijian Zheng

2008
26	EE	Dou Shen, Toby Walkery, Zijian Zheng, Qiang Yang, Ying Li: Personal name classification in web queries. WSDM 2008: 149-158
2006
25	EE	Eugene Agichtein, Zijian Zheng: Identifying "best bet" web search results by mining past user behavior. KDD 2006: 902-908
2005
24	EE	Ying Li, Zijian Zheng, Honghua (Kathy) Dai: KDD CUP-2005 report: facing a great challenge. SIGKDD Explorations 7(2): 91-99 (2005)
2004
23	EE	Geoffrey I. Webb, Zijian Zheng: Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques. IEEE Trans. Knowl. Data Eng. 16(8): 980-991 (2004)
22	EE	Ron Kohavi, Llew Mason, Rajesh Parekh, Zijian Zheng: Lessons and Challenges from Mining Retail E-Commerce Data. Machine Learning 57(1-2): 83-113 (2004)
2001
21	EE	Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng: Integrating E-Commerce and Data Mining: Architecture and Challenges. ICDM 2001: 27-34
20	EE	Zijian Zheng, Ron Kohavi, Llew Mason: Real world performance of association rule algorithms. KDD 2001: 401-406
2000
19	EE	Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng: Integrating E-Commerce and Data Mining: Architecture and Challenges CoRR cs.LG/0007026: (2000)
18		Zijian Zheng: Constructing X-of-N Attributes for Decision Tree Learning. Machine Learning 40(1): 35-75 (2000)
17		Zijian Zheng, Geoffrey I. Webb: Lazy Learning of Bayesian Rules. Machine Learning 41(1): 53-84 (2000)
16	EE	Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng: KDD-Cup 2000 Organizers' Report: Peeling the Onion. SIGKDD Explorations 2(2): 86-98 (2000)
1999
15		Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting: Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. ICML 1999: 493-502
14	EE	Zijian Zheng, Geoffrey I. Webb: Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. PAKDD 1999: 123-132
13	EE	Kai Ming Ting, Zijian Zheng: Improving the Performance of Boosting for Naive Bayesian Classification. PAKDD 1999: 296-305
12	EE	Zijian Zheng, Boon Toh Low: Classifying Unseen Cases with Many Missing Values. PAKDD 1999: 370-374
11		Geoffrey I. Webb, Jason Wells, Zijian Zheng: An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition. Machine Learning 35(1): 5-23 (1999)
1998
10		Zijian Zheng, Geoffrey I. Webb: Stochastic Attribute Selection Committees. Australian Joint Conference on Artificial Intelligence 1998: 321-332
9	EE	Kai Ming Ting, Zijian Zheng: Boosting Cost-Sensitive Trees. Discovery Science 1998: 244-255
8		Kai Ming Ting, Zijian Zheng: Boosting Trees for Cost-Sensitive Classifications. ECML 1998: 190-195
7		Zijian Zheng: Naive Bayesian Classifier Committees. ECML 1998: 196-207
6		Zijian Zheng: Scaling Up the Rule Generation of C4.5. PAKDD 1998: 348-359
5		Zijian Zheng: Generating Classifier Commitees by Stochastically Selecting both Attributes and Training Examples. PRICAI 1998: 12-23
4	EE	Zijian Zheng: Constructing conjunctions using systematic search on decision trees. Knowl.-Based Syst. 10(7): 421-430 (1998)
1997
3		Bark Cheung Chiu, Geoffrey I. Webb, Zijian Zheng: Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions. Australian Joint Conference on Artificial Intelligence 1997: 349-358
1996
2		Zijian Zheng: Effects of Different Types of New Attribute on Constructive Induction. ICTAI 1996: 254-257
1995
1		Zijian Zheng: Constructing Nominal X-of-N Attributes. IJCAI 1995: 1064-1070

Coauthor Index

1	Eugene Agichtein	[25]
2	Suhail Ansari	[19] [21]
3	Carla E. Brodley	[16]
4	Bark Cheung Chiu	[3]
5	Honghua (Kathy) Dai	[24]
6	Brian Frasca	[16]
7	Ron Kohavi	[16] [19] [20] [21] [22]
8	Ying Li	[24] [26]
9	Boon Toh Low	[12]
10	Llew Mason	[16] [19] [20] [21] [22]
11	Rajesh Parekh	[22]
12	Dou Shen	[26]
13	Kai Ming Ting	[8] [9] [13] [15]
14	Toby Walkery	[26]
15	Geoffrey I. Webb	[3] [10] [11] [14] [15] [17] [23]
16	Jason Wells	[11]
17	Qiang Yang	[26]

Colors in the list of coauthors