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Unstructured Construction Data Analytics Using R Programming - Focused on Overseas Construction Adjudication Cases -
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 Title & Authors
Unstructured Construction Data Analytics Using R Programming - Focused on Overseas Construction Adjudication Cases -
Lee, Jee-Hee; Yi, June-Seong; Son, JeongWook;
As construction projects are getting complex, the amount of information in order for performing project has rapidly increased. Thus, high quality of data management technique, which can promote project's productivity and profitability, is now a big issue in construction industry. Especially, as the importance of construction claim and dispute management is emphasized data analysis based risk management is becoming an important topic. This study analyzed overseas construction adjudication cases based on unstructured data analytics as a way of claim and dispute management. In order to analysis on unstructured data, which is written in text data, NLP, IR and Text Mining technique was applied, and some of meaningful results could be derived. From the text analysis written in construction case law, some construction dispute type was classified; loss of profit, document notification, practical completion, clear terms of contract, and payment. This study conducted a meaningful attempt in construction dispute research aspect as suggests a methodology which can enhance the accessibility and availability of construction adjudication cases.
Unstructured Data Analytics;Construction Adjudication Cases;Overseas Construction Disputes;
 Cited by
텍스트 마이닝을 통한 해외건설공사 입찰정보 분석 - 해외건설공사의 입찰자 질의(Bidder Inquiry) 정보를 대상으로 -,이지희;이준성;손정욱;

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