Application of association rule mining and social network analysis for understanding causality of construction defects

Sangdeok Lee; Yongwoon Cha; Sangwon Han; Changtaek Hyun

doi:10.3390/su11030618

Application of association rule mining and social network analysis for understanding causality of construction defects

Sangdeok Lee
, Yongwoon Cha
, Sangwon Han
, Changtaek Hyun

Department of Architectural Engineering

University of Seoul

Research output: Contribution to journal › Article › peer-review

48 Scopus citations

Abstract

A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association rule mining (ARM) is used to quantify the interrelationships between defect causes, and social network analysis (SNA) is utilized to find out the most influential causes triggering generation of construction defects. The suggested approach was applied to 2949 defect instances in finishing work. Through this application, it was confirmed that the proposed approach can systematically identify and quantify causality among defect causes.

Original language	English
Article number	618
Journal	Sustainability (Switzerland)
Volume	11
Issue number	3
DOIs	https://doi.org/10.3390/su11030618
State	Published - 24 Jan 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Association rule mining
Causality
Defect causes
Finishing work
Social network analysis

Access to Document

10.3390/su11030618

Cite this

@article{719ee4814dce45bda80344a9612eb475,

title = "Application of association rule mining and social network analysis for understanding causality of construction defects",

abstract = "A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association rule mining (ARM) is used to quantify the interrelationships between defect causes, and social network analysis (SNA) is utilized to find out the most influential causes triggering generation of construction defects. The suggested approach was applied to 2949 defect instances in finishing work. Through this application, it was confirmed that the proposed approach can systematically identify and quantify causality among defect causes.",

keywords = "Association rule mining, Causality, Defect causes, Finishing work, Social network analysis",

author = "Sangdeok Lee and Yongwoon Cha and Sangwon Han and Changtaek Hyun",

note = "Publisher Copyright: {\textcopyright} 2019 by the authors.",

year = "2019",

month = jan,

day = "24",

doi = "10.3390/su11030618",

language = "English",

volume = "11",

journal = "Sustainability (Switzerland)",

issn = "2071-1050",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "3",

}

TY - JOUR

T1 - Application of association rule mining and social network analysis for understanding causality of construction defects

AU - Lee, Sangdeok

AU - Cha, Yongwoon

AU - Han, Sangwon

AU - Hyun, Changtaek

PY - 2019/1/24

Y1 - 2019/1/24

N2 - A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association rule mining (ARM) is used to quantify the interrelationships between defect causes, and social network analysis (SNA) is utilized to find out the most influential causes triggering generation of construction defects. The suggested approach was applied to 2949 defect instances in finishing work. Through this application, it was confirmed that the proposed approach can systematically identify and quantify causality among defect causes.

AB - A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association rule mining (ARM) is used to quantify the interrelationships between defect causes, and social network analysis (SNA) is utilized to find out the most influential causes triggering generation of construction defects. The suggested approach was applied to 2949 defect instances in finishing work. Through this application, it was confirmed that the proposed approach can systematically identify and quantify causality among defect causes.

KW - Association rule mining

KW - Causality

KW - Defect causes

KW - Finishing work

KW - Social network analysis

UR - https://www.scopus.com/pages/publications/85060519585

U2 - 10.3390/su11030618

DO - 10.3390/su11030618

M3 - Article

AN - SCOPUS:85060519585

SN - 2071-1050

VL - 11

JO - Sustainability (Switzerland)

JF - Sustainability (Switzerland)

IS - 3

M1 - 618

ER -

Application of association rule mining and social network analysis for understanding causality of construction defects

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this