Matches in SemOpenAlex for { <https://semopenalex.org/work/W3039763960> ?p ?o ?g. }
- W3039763960 endingPage "103331" @default.
- W3039763960 startingPage "103331" @default.
- W3039763960 abstract "The construction industry is experiencing remarkable growth in the data generation. Data mining (DM) from considerable amount of data in the construction industry has emerged as an important tool for knowledge discovery. Despite the remarkable growth of DM applications to the construction industry, a systematic review on DM applications in this field is still lacking. Therefore, this paper attempts to provide a comprehensive literature review of DM application articles published between 2001 and 2019 with the specificity of construction industry. The popularity of DM applications in the construction industry is increasing, especially after 2016, with a plurality emanating from China. The main data sources, DM functions, and frequently used DM techniques in the construction industry are discussed in detail. Nine major application fields are identified, with the primary research interests focusing on multiple dimensions of energy, safety management, building occupancy and occupant behavior, material performance, and textual knowledge discovery. Four major challenges and four future research directions are proposed by drawing on the research findings. This study provides academics and practitioners with a more comprehensive understanding of the state-of-the-art of DM applications and heuristic implications for future studies. • A comprehensive review of data mining (DM) application in construction industry from 2001 to March 2019 is conducted. • The popularity of DM applications in construction industry is increasing, especially after 2016. • 9 major application fields are identified and comprehensively analyzed. • Four challenges and four future directions are proposed." @default.
- W3039763960 created "2020-07-10" @default.
- W3039763960 creator A5025468066 @default.
- W3039763960 creator A5064110561 @default.
- W3039763960 creator A5077126830 @default.
- W3039763960 creator A5085122218 @default.
- W3039763960 date "2020-11-01" @default.
- W3039763960 modified "2023-10-18" @default.
- W3039763960 title "Data mining in the construction industry: Present status, opportunities, and future trends" @default.
- W3039763960 cites W1023118562 @default.
- W3039763960 cites W1543354430 @default.
- W3039763960 cites W1566639089 @default.
- W3039763960 cites W1810406100 @default.
- W3039763960 cites W1815414460 @default.
- W3039763960 cites W1887097178 @default.
- W3039763960 cites W1974518327 @default.
- W3039763960 cites W1975633953 @default.
- W3039763960 cites W1981885501 @default.
- W3039763960 cites W1992699707 @default.
- W3039763960 cites W1994332463 @default.
- W3039763960 cites W1995446089 @default.
- W3039763960 cites W1995713532 @default.
- W3039763960 cites W2003591606 @default.
- W3039763960 cites W2003951468 @default.
- W3039763960 cites W2005037121 @default.
- W3039763960 cites W2007163879 @default.
- W3039763960 cites W2007528765 @default.
- W3039763960 cites W2009826707 @default.
- W3039763960 cites W2015634532 @default.
- W3039763960 cites W2019613054 @default.
- W3039763960 cites W2020517838 @default.
- W3039763960 cites W2022347145 @default.
- W3039763960 cites W2022841475 @default.
- W3039763960 cites W2023369697 @default.
- W3039763960 cites W2024897438 @default.
- W3039763960 cites W2028271679 @default.
- W3039763960 cites W2029392898 @default.
- W3039763960 cites W2039288204 @default.
- W3039763960 cites W2044775374 @default.
- W3039763960 cites W2047143310 @default.
- W3039763960 cites W2050299018 @default.
- W3039763960 cites W2057490059 @default.
- W3039763960 cites W2059608995 @default.
- W3039763960 cites W2060315002 @default.
- W3039763960 cites W2062690987 @default.
- W3039763960 cites W2063346371 @default.
- W3039763960 cites W2063629125 @default.
- W3039763960 cites W2064469609 @default.
- W3039763960 cites W2065146398 @default.
- W3039763960 cites W2065598345 @default.
- W3039763960 cites W2071486605 @default.
- W3039763960 cites W2071909685 @default.
- W3039763960 cites W2085573882 @default.
- W3039763960 cites W2086728231 @default.
- W3039763960 cites W2088053778 @default.
- W3039763960 cites W2093421556 @default.
- W3039763960 cites W2099764309 @default.
- W3039763960 cites W2129833317 @default.
- W3039763960 cites W2134332934 @default.
- W3039763960 cites W2140092692 @default.
- W3039763960 cites W2151598682 @default.
- W3039763960 cites W2154400911 @default.
- W3039763960 cites W2167849100 @default.
- W3039763960 cites W2182886880 @default.
- W3039763960 cites W2204655733 @default.
- W3039763960 cites W2207880611 @default.
- W3039763960 cites W2294864664 @default.
- W3039763960 cites W2295959395 @default.
- W3039763960 cites W2303781951 @default.
- W3039763960 cites W2328440700 @default.
- W3039763960 cites W2328876236 @default.
- W3039763960 cites W2339603402 @default.
- W3039763960 cites W2344114926 @default.
- W3039763960 cites W2424728784 @default.
- W3039763960 cites W2490033382 @default.
- W3039763960 cites W2507816395 @default.
- W3039763960 cites W2515244244 @default.
- W3039763960 cites W2521641859 @default.
- W3039763960 cites W2552534312 @default.
- W3039763960 cites W2552592266 @default.
- W3039763960 cites W2567652157 @default.
- W3039763960 cites W2651887877 @default.
- W3039763960 cites W2741224534 @default.
- W3039763960 cites W2741494172 @default.
- W3039763960 cites W2744944994 @default.
- W3039763960 cites W2745778922 @default.
- W3039763960 cites W2746975807 @default.
- W3039763960 cites W2748717934 @default.
- W3039763960 cites W2761146210 @default.
- W3039763960 cites W2762037728 @default.
- W3039763960 cites W2763500568 @default.
- W3039763960 cites W2766951177 @default.
- W3039763960 cites W2767407059 @default.
- W3039763960 cites W2767762556 @default.
- W3039763960 cites W2773309836 @default.
- W3039763960 cites W2783240622 @default.
- W3039763960 cites W2790497435 @default.
- W3039763960 cites W2790764151 @default.