Zijian Zheng

Affiliations:
  • Microsoft Corporation, Redmond, WA, USA


According to our database1, Zijian Zheng authored at least 21 papers between 1997 and 2010.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2010
Large-scale bot detection for search engines.
Proceedings of the 19th International Conference on World Wide Web, 2010

2009
PSkip: estimating relevance ranking quality from web search clickthrough data.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Personal name classification in web queries.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

2006
Identifying "best bet" web search results by mining past user behavior.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
KDD CUP-2005 report: facing a great challenge.
SIGKDD Explor., 2005

2004
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques.
IEEE Trans. Knowl. Data Eng., 2004

Lessons and Challenges from Mining Retail E-Commerce Data.
Mach. Learn., 2004

2003
A Study of AdaBoost with Naive Bayesian Classifiers: Weakness and Improvement.
Comput. Intell., 2003

2001
Real world performance of association rule algorithms.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Integrating E-Commerce and Data Mining: Architecture and Challenges.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

2000
KDD-Cup 2000 Organizers' Report: Peeling the Onion.
SIGKDD Explor., 2000

Lazy Learning of Bayesian Rules.
Mach. Learn., 2000

1999
An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition.
Mach. Learn., 1999

Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Improving the Performance of Boosting for Naive Bayesian Classification.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning.
Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998

Boosting Trees for Cost-Sensitive Classifications.
Proceedings of the Machine Learning: ECML-98, 1998

Boosting Cost-Sensitive Trees.
Proceedings of the Discovery Science, 1998

Stochastic Attribute Selection Committees.
Proceedings of the Advanced Topics in Artificial Intelligence, 1998

1997
Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions.
Proceedings of the Advanced Topics in Artificial Intelligence, 1997


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