Gavin Shaw

According to our database, Gavin Shaw authored at least 11 papers between 2008 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

Interestingness Measures for Multi-Level Association Rules.

Gavin Shaw, Yue Xu, Shlomo Geva

Proceedings of the Innovations in Intelligent Machines-4, 2014

A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection.

Gavin Shaw, Richi Nayak

Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

2011

Reliable representations for association rules.

Yue Xu, Yuefeng Li, Gavin Shaw

Data Knowl. Eng., 2011

2010

Using Association Rules to Solve the Cold-Start Problem in Recommender Systems.

Gavin Shaw, Yue Xu, Shlomo Geva

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

2009

Enhancing an Incremental Clustering Algorithm for Web Page Collections.

Gavin Shaw, Yue Xu

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

2008

A Reliable Basis for Approximate Association Rules.

Yue Xu, Yuefeng Li, Gavin Shaw

IEEE Intell. Informatics Bull., 2008

Concise representations for approximate association rules.

Yue Xu, Yuefeng Li, Gavin Shaw

Proceedings of the IEEE International Conference on Systems, 2008

Extracting Non-redundant Approximate Rules from Multi-level Datasets.

Gavin Shaw, Yue Xu, Shlomo Geva

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Utilizing Non-redundant Association Rules from Multi-level Datasets.

Gavin Shaw, Yue Xu, Shlomo Geva

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Eliminating Redundant Association Rules in Multi-Level Datasets.

Gavin Shaw, Yue Xu, Shlomo Geva

Proceedings of The 2008 International Conference on Data Mining, 2008

Deriving non-redundant approximate association rules from hierarchical datasets.

Gavin Shaw, Yue Xu, Shlomo Geva

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008