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Analyzing Asset Management Data Using Data and Text Mining
| 题名： | Analyzing Asset Management Data Using Data and Text Mining |
| 作者： | Williams, T.; Halling, M. |
| 关键词： | Pavement##Computer-vision##Empirical mode decomposition##Management data##METADATA##GIS analysis##Pavement monitoring##Text processing##Classification models##Algorithms##Text-mining## |
| 摘要： | Predictive models using text from a sample competitively bid California highway projects have been used to predict a construction projects likely level of cost overrun. A text description of the project and the text of the five largest project line items were used as input. The text data were converted to numerical attributes using text-mining algorithms and singular value decomposition. Two models were produced. The first used only the text description as input, while the second combined the text data with the numeric value of the low bid. Classification models were produced using the K-Star classification algorithm. Modeling results indicated information in the textual descriptions is related to the projects level of cost overrun. |
| 总页数： | 10 |
| 报告类型： | 科技报告 |
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