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    Building a Construction Project Key-Phrase Network from Unstructured Text Documents 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 006
    Author(s): Đorđe Nedeljković; Miloš Kovačević
    Publisher: American Society of Civil Engineers
    Abstract: During a construction project lifecycle, an extensive corpus of unstructured or semistructured text documents is generated. The nature of unstructured sources impedes users’ acquisition, analysis, and reuse of relevant ...
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    Providing Answers to Questions from Automatically Collected Web Pages for Intelligent Decision Making in the Construction Sector 

    Source: Journal of Computing in Civil Engineering:;2008:;Volume ( 022 ):;issue: 001
    Author(s): Milos Kovacevic; Jian-Yun Nie; Colin Davidson
    Publisher: American Society of Civil Engineers
    Abstract: The construction sector is notorious for the dichotomy between (a) its intensive use of information in its decision-making processes and (b) its limited access to, and insufficient use of, the pertinent information that ...
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    Estimating Residual Value of Heavy Construction Equipment Using Ensemble Learning 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 007:;page 04021073-1
    Author(s): Igor Milošević; Miloš Kovačević; Predrag Petronijević
    Publisher: ASCE
    Abstract: Knowing the right moment for the sale of used heavy construction equipment is important information for every construction company. The proposed methodology uses ensemble machine learning techniques to estimate the price ...
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