학술논문

Intelligent Bidding Method Based on Data OLAP Analysis and Matching Retrieval
Document Type
Conference
Source
2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA) Data Science and Computer Application (ICDSCA), 2023 IEEE 3rd International Conference on. :1333-1336 Oct, 2023
Subject
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Analytical models
Costs
Computational modeling
Estimation
Computer applications
Predictive models
Data science
Bidding Information
Data Online Analytical Processing (OLAP)
Prediction Model
Project Cost
Estimation Error
Language
Abstract
In order to solve the problem that the tenderer lacks the analysis of the cost estimation data, this topic intends to adopt online analysis and processing (OLAP) method. A new cost estimation method is studied. The model is based on the statistics of similar project cost data. An optimized data analysis model is adopted. This method can estimate the project cost more accurately. This method is applied to project bidding and the data processing of the system is carried out. A concrete example is used to evaluate the accuracy of the method. The result shows that the prediction accuracy is high and meets the need of project bidding.