Multidimensional analysis of engineering cost database based on descriptive data mining-Reference-Cited by-同舟云学术

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Multidimensional analysis of engineering cost database based on descriptive data mining

Published:2023-03-21 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Ke Dandan,Dai Jingyi

Funder

Construction Plan of Scientific Research and Innovation Platform of Wuhan College

Research and Innovation Team of Wuhan College

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-07992-6.pdf

Reference24 articles.

1. Ali ZH, Burhan AM, Kassim M, Al Khafaji Z (2022) Developing an integrative data intelligence model for construction cost estimation. Complexity. https://doi.org/10.1155/2022/4285328

2. Chen Y (2022). Research on IGOA-LSSVM based fault diagnosis of power transformers. J Vibroeng. https://doi.org/10.21595/JVE.2022.22439

3. Cui L (2022) Research on cost prediction of civil engineering construction based on multi-dimensional data mining. Int J New Dev Eng Soc. https://doi.org/10.25236/IJNDES.2022.060107

4. Ding C, Ding Q, Feng L, Wang Z (2022) Prediction model of dissolved gas in transformer oil based on VMD-SMA-LSSVM. IEEJ Trans Electr Electron Eng. https://doi.org/10.1002/TEE.23653

5. Dmitrieva TL, Kablukov AV (2021) Implementation of an optimization algorithm using modified Lagrange functions on the example of a steel hinge-rod system. IOP Conf Ser Earth Environ Sci. https://doi.org/10.1088/1755-1315/751/1/012061

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