Soibelman, L and Wu, JF and Caldas, C and Brilakis, I and Lin, KY (2008) Management and analysis of unstructured construction data types. ADVANCED ENGINEERING INFORMATICS, 22. pp. 15-27. ISSN 1474-0346Full text not available from this repository.
Compared with structured data sources that are usually stored and analyzed in spreadsheets, relational databases, and single data tables, unstructured construction data sources such as text documents, site images, web pages, and project schedules have been less intensively studied due to additional challenges in data preparation, representation, and analysis. In this paper, our vision for data management and mining addressing such challenges are presented, together with related research results from previous work, as well as our recent developments of data mining on text-based, web-based, image-based, and network-based construction databases.
|Uncontrolled Keywords:||data mining construction information management DOCUMENT MANAGEMENT INFORMATION GENERATION ONTOLOGY PROJECT|
|Depositing User:||Cron Job|
|Date Deposited:||31 Aug 2012 10:10|
|Last Modified:||20 Jan 2014 01:11|
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