my.Research

"Whoever wants to portray something that does not exist has to obey certain rules... he must produce contrasts, he must cause a shock."

Maurits Cornelis Escher

Cognitive aspects of rule mining from data

My research interests lies in the human amenability and transparency aspects of rules discovered from data mining; particularly on the use of rudimentary neural logic networks as an enhanced set of human-like concept operators for rule mining.

ICTAI-2009

Henry WK Chia, CL Tan & SY Sung. Probabilistic neural logic network learning: Taking cues from neuro-cognitive processes.

TKDE-2006 (Vol. 18, No. 7)

Henry WK Chia, CL Tan & SY Sung. Enhancing Knowledge Discovery via Association-Based Evolution of Neural Logic Networks.

Innovation-2005

Henry WK Chia. Genetic Artificial Intelligence - Evolutionary genetic programming models a means by which a society could share knowledge.

GECCO-2004

Henry WK Chia & CL Tan. Association-based evolution of comprehensible neural logic networks (Late-Breaking Paper).

GECCO-2004

Henry WK Chia & CL Tan. Confidence and support classification using genetically programmed neural logic networks.

IJCIA-2001 (Special Edition)

Henry WK Chia & CL Tan. Neural logic network learning using genetic programming.

IJCAI-2001

CL Tan & Henry WK Chia. Neural logic network learning using genetic programming.

IJCNN-2001

CL Tan & Henry WK Chia. Genetic construction of neural logic networks.

Some of the above papers can be downloaded from here.