Soibelman, L and Wu, J and Caldas, C and Brilakis, I and Lin, KY (2006) Data Analysis on Complicated Construction Data Sources: Vision, Research, and Recent Developments. Artificial Intelligence Journal, 4200/2. pp. 637-652. ISSN 0302-9743Full text not available from this repository.
Compared with construction data sources that are usually stored and analyzed in spreadsheets and single data tables, data sources with more complicated structures, 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 definition and vision for advanced data analysis addressing such challenges are presented, together with related research results from previous work, as well as our recent developments of data analysis on text-based, image-based, web-based, and network-based construction sources. It is shown in this paper that particular data preparation, representation, and analysis operations should be identified, and integrated with careful problem investigations and scientific validation measures in order to provide general frameworks in support of information search and knowledge discovery from such information-abundant data sources.
|Depositing User:||Cron Job|
|Date Deposited:||31 Aug 2012 11:10|
|Last Modified:||04 Feb 2013 01:54|
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