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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/19411
Title: Data mining for industrial engineering and management (Editorial)
Authors: Chih-Chiang Wei 
Issue Date: 2013
Source: Wei CC (2013) Data Mining for Industrial Engineering and Management. Ind Eng Manage 2: e117. doi: 10.4172/2169-0316.1000e117
Journal Volume: 2
Journal Issue: 4
Source: Industrial Engineering and Management
Abstract: 
The focus areas of the Industrial Engineering and Management
journal include production, logistics, quality, operational research,
information systems, technology, communication, industrial
economics, regional development, management, organizational
behavior, human resources, finance, accounting, marketing, education,
training, and professional skills [1]. The aim of this journal is to become
a reliable source of information for leaders in the field of industrial
engineering management journals research, and to feature a rapid
review process [2]. The subject discussed in this paper is data mining
for industrial engineering and management
URI: http://scholars.ntou.edu.tw/handle/123456789/19411
ISSN: 2169-0316
DOI: 10.4172/2169-0316.1000e117
Appears in Collections:海洋環境資訊系

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