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Data mining Traditional Chinese Medicine (TCM): Lessons learnt from mining in law and allopathic medicine

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2 Author(s)
Andrew Stranieri ; Centre for Informatics and Applied Optimisation, University of Ballarat, Australia ; Tony Sahama

Key decisions at the collection, pre-processing, transformation, mining and interpretation phase of any knowledge discovery from database (KDD) process depend heavily on assumptions and theoretical perspectives relating to the type of task to be performed and characteristics of data sourced. In this article, we compare and contrast theoretical perspectives and assumptions taken in data mining exercises in the legal domain with those adopted in data mining in TCM and allopathic medicine. The juxtaposition results in insights for the application of KDD for Traditional Chinese Medicine.

Published in:

e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on

Date of Conference:

10-13 Oct. 2012