Management and analysis of unstructured construction data types

Management and analysis of unstructured construction data types

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Article ID: iaor20111544
Volume: 22
Issue: 1
Start Page Number: 15
End Page Number: 27
Publication Date: Jan 2008
Journal: Advanced Engineering Informatics
Authors: , , , ,
Keywords: datamining
Abstract:

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.

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