TEXT MINING APPROACH FOR REVIEWING THE READY MIXED CONCRETE LITERATURE

Mojtaba Maghrebi1, S. Travis Waller2 and Claude Sammut3

1) Research Associate, Research Centre for Integrated Transport Innovation, School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, Australia,
2) Professor, Research Centre for Integrated Transport Innovation, School of Civil and Environmental Engineering, The University of New South Wales (UNSW), Sydney, Australia and National Information and Communications Technology Australia (NICTA), Sydney, Australia.
3) Professor, School of Computer Science Engineering, University of New South Wales (UNSW), Sydney, Australia.

Abstract: In this paper works related to Ready Mixed Concrete (RMC) are statistically reviewed. All documents that contain either in their titles or abstracts the phrase “Ready Mixed Concrete” are selected. Then, clustering is applying to create grouping for documents. The main purpose of this study is to find the position of Ready Mixed Concrete Dispatching Problem (RMCDP) in the RMC context. The results showed that only a few studies have been devoted to RMC dispatching while most of RMC literature have been devoted to concrete technology and material science.

Keywords: Ready Mixed Concrete Delivery, Text mining, Literature Review

Bibliographical Reference:
Mojtaba Maghrebi, S. Travis Waller and Claude Sammut. “TEXT MINING APPROACH FOR REVIEWING THE READY MIXED CONCRETE LITERATURE.” In Proceedings of International Conference on Civil and Building Engineering Informatics (ICCBEI 2015), 125. Tokyo, Japan, 2015.

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