Abstract—In the knowledge-based economy era, an
enterprise need to quickly control and accumulate knowledge in
a high-knowledge and complicated market and also use them to
establish a proper management and warming system for
decision-makers and managements. Procurements always play
an important role to increase profit in the organization and an
effective procurement system always increases knowledge
accumulated and management of procurements as well as
further feedback alarm when abnormal procurement happened.
The research bases on characteristics of construction industry
because of personal procurements as well as long and
complicated processes. However, if the procurements could be
managed or assisted and conducted by knowledge system, it not
only hand over related procurement experiences of construction,
but also reduces risk of procurement via effective warming
system as well as promotes entire performance and profits of
enterprise. Therefore, this project will consolidate software and
hardware technology of information to find out association
rules in knowledge of procurement between different projects
from huge database of procurement by data mining technology
and also develop a unique abnormal procurement alarm system
for construction industry. It is expected to solve operating
problems and achieve purchasing needs as well as fulfill profits
expectation.
Index Terms—Construction, procurement, warning system,
knowledge management, data mining.
The authors are with the Department of Information Management,
University of Kao Yuan, Kaohsiung, Taiwan (e-mail: {clho, t90174}@
cc.kyu.edu.tw).
[PDF]
Cite: Chun-Ling Ho and Hao-Wen Shih, "Applying Data Ming to Develop a Warning System of
Procurement in Construction," International Journal of Future Computer and Communication vol. 3, no. 3, pp. 168-171, 2014.
