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- 1Anomaly detection
- 1Construction Projects
- 1Deep Learning
- 1Estimate at Completion (EAC)
- 1Forecasting
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A Deep Learning Approach for Forecasting Cost Estimate at Completion (EAC) in Construction Projects
DownloadFall 2024
Inaccurate cost forecasting is a significant issue that can lead to potential budget overruns, cash flow problems, poor stakeholder relationships, and financial losses for construction execution companies. To improve cost forecasting accuracy, this research proposes a deep-learning framework...
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Fall 2016
Anomaly detection in time series is one of the fundamental issues in data mining. It addresses various problems in different domains such as intrusion detection in computer networks, anomaly detection in healthcare sensory data, and fraud detection in securities. Though there has been extensive...