Zijian Zheng

Orcid: 0009-0003-3704-1420

According to our database1, Zijian Zheng authored at least 42 papers between 1990 and 2024.

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Bibliography

2024
CBCG: A Clustering Algorithm Based on Bidirectional Conical Information Granularity.
IEEE Trans. Fuzzy Syst., August, 2024

Omnidirectional and Size-Adaptive Soft Bending Sensor for Accurate Human Joint Motion Monitoring.
IEEE Trans. Ind. Electron., 2024

FRCM: A fuzzy rough <i>c</i>-means clustering method.
Fuzzy Sets Syst., 2024

Semi-Supervised Multi-modal Sensor Fusion Framework for In-Vehicle Networks.
Proceedings of the 19th Workshop on Mobility in the Evolving Internet Architecture, 2024

2023
A large-scale group decision-making method based on group-oriented rough dominance relation in scenic spot service improvement.
Expert Syst. Appl., December, 2023

<i>K</i>-DGHC: A hierarchical clustering method based on <i>K</i>-dominance granularity.
Inf. Sci., 2023

Cucumber Flower Detection Based on YOLOv5s-SE7 Within Greenhouse Environments.
IEEE Access, 2023

Asynchronous Federated Learning via Over-the-Air Computation.
Proceedings of the IEEE Global Communications Conference, 2023

Research on SOTIF Analysis Based on Port Unmanned Vehicles.
Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

2020
Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree.
Reliab. Eng. Syst. Saf., 2020

2019
Deformation-Resilient Embroidered Near Field Communication Antenna and Energy Harvesters for Wearable Applications.
Adv. Intell. Syst., 2019

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

Constructing X-of-N Attributes for Decision Tree Learning.
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

Classifying Unseen Cases with Many Missing Values.
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
Constructing conjunctions using systematic search on decision trees.
Knowl. Based Syst., 1998

Generating Classifier Commitees by Stochastically Selecting both Attributes and Training Examples.
Proceedings of the PRICAI'98, 1998

Scaling Up the Rule Generation of C4.5.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 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

Naive Bayesian Classifier Committees.
Proceedings of the Machine Learning: ECML-98, 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

1996
Effects of Different Types of New Attribute on Constructive Induction.
Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996

1995
Constructing Nominal X-of-N Attributes.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1992
A Hybrid Knowledge Engineering Development Environment (Kede).
Int. J. Artif. Intell. Tools, 1992

1990
An introduction to KEDE-A hybrid knowledge engineering development environment.
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990


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