Data analysis on complicated construction data sources: Vision, research, and recent developments

1Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Soibelman, L., Wu, J., Caldas, C., Brilakis, I., & Lin, K. Y. (2006). Data analysis on complicated construction data sources: Vision, research, and recent developments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4200 LNAI, pp. 637–652). Springer Verlag. https://doi.org/10.1007/11888598_57

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free