Dr. Fuchun Luan, a data mining specialist from the Australian Taxation
Office (ATO) in Canberra, Australia, visited CERCIA and gave a
presentation of ATO’s data mining work on July 3, Friday. CERCIA’s
research achievements in data mining have been reported in some very
recent papers:

L. L. Minku, A. White and X. Yao, “The Impact of Diversity on On-line
Ensemble Learning in the Presence of Concept Drift,” IEEE Transactions on
Knowledge and Data Engineering, accepted in May 2009.

K. Tang, M. Lin, F. L. Minku and X. Yao, “Selective Negative Correlation
Learning Approach to Incremental Learning,” Neurocomputing, accepted,
September 2008.

H. Chen, P. Tino and X. Yao, “Predictive Ensemble Pruning by
Expectation Propagation,” IEEE Transactions on Knowledge and Data
Engineering, 21(7):999-1013, July 2009.

H. Chen, P. Tino and X. Yao, “Probabilistic Classification Vector
Machines,” IEEE Transactions on Neural Networks, 20(6):901-914, June
2009.

F. L. Minku, H. Inoue and X. Yao, “Negative correlation in incremental
learning,” Natural Computing, 8(2):289-320, June 2009.

Md. Monirul Islam, Md. Abdus Sattar, Md. Faijul Amin, X. Yao and K.
Murase, “A New Adaptive Merging and Growing Algorithm for Designing
Artificial Neural Networks,” IEEE Transactions on Systems, Man, and
Cybernetics: Part B, 39(3):705-722, June 2009.