Deriving non-redundant approximate association rules from hierarchical datasets. - Gavin Shaw; Yue Xu 001; Shlomo Geva (CIKM, 2008)

Eliminating Redundant Association Rules in Multi-Level Datasets. - Gavin Shaw; Yue Xu 001; Shlomo Geva (DMIN, 2008)

Utilizing Non-redundant Association Rules from Multi-level Datasets. - Gavin Shaw; Yue Xu 001; Shlomo Geva (Web Intelligence/IAT Workshops, 2008)

Extracting Non-redundant Approximate Rules from Multi-level Datasets. - Gavin Shaw; Yue Xu 001; Shlomo Geva (ICTAI (2), 2008)

Concise representations for approximate association rules. - Yue Xu 001; Yuefeng Li; Gavin Shaw (SMC, 2008)

A Reliable Basis for Approximate Association Rules. - Yue Xu 001; Yuefeng Li; Gavin Shaw (IEEE Intell. Informatics Bull., 2008)

Enhancing an Incremental Clustering Algorithm for Web Page Collections. - Gavin Shaw; Yue Xu 001 (Web Intelligence/IAT Workshops, 2009)

Using Association Rules to Solve the Cold-Start Problem in Recommender Systems. - Gavin Shaw; Yue Xu 001; Shlomo Geva (PAKDD (1), 2010)

Reliable representations for association rules. - Yue Xu 001; Yuefeng Li; Gavin Shaw (Data Knowl. Eng., 2011)

A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection. - Gavin Shaw; Richi Nayak (AusDM, 2014)

Interestingness Measures for Multi-Level Association Rules. - Gavin Shaw; Yue Xu 001; Shlomo Geva (Innovations in Intelligent Machines (4), 2014)