Title:
Intellectual Capital
Measurement
Model of Enterprises in Thailand by Data Mining Techniques
Abstract: Intellectual Capital (IC) is one
type
of capital which is known as intangible assets of organizations.
Therefore,
IC is claimed to be a valuable asset in the organizations. However, the
study
of IC was not widely conducted in Thailand. IC includes human capital,
structural
capital and customer capital. This paper applies a data mining
technique,
classification algorithm for generating IC model of organizations in
Thailand.
Three candidate classification algorithms including Decision tree
(ID3),
Decision Tree (C4.5) and Bayesian Network were compared for the
prediction
powers in this study. Data set was obtained form surveys of 216
organizations
located on the central part of Thailand. Results show that Bayesian
Network
has the highest prediction power. The accuracy of this model is about
83%
which is good. The implication of this model is also suggested.
Author: Anongnart Srivihok