Project Cost Management Information Solution Based on Data Mining Technology
Authors: 
Zeyang Li, Ling LiuAuthors Info & Claims
Zeyang Li, Ling LiuAuthors Info & ClaimsPages 832 - 836
References
[1]
Wen Xueming. Research on Sichuan power grid project cost control during the 12th Five-Year Plan period based on data mining technology [J]. China Electric Power Enterprise Management, 2016(12):16-16.
[2]
Gaofeng. Discussion on informatization of project cost management based on BIM technology [J]. East China Science and Technology: Comprehensive, 2019(12):1.
[3]
Qin Jianqing. On the application analysis of data mining technology in power line project cost management [J]. Science and Information Technology, 2017(30):2.
[4]
Lai Xinghua. Research on project cost management based on BIM technology [J]. China Real Estate Industry, 2016(12):1.
[5]
Xue Jian. Research on information management of university books based on data mining technology [J]. Information technology, 2019, 43(2):5.
[6]
Geng Pengyun, An Lei, wangxin. Establishment and realization of transmission project cost prediction model based on data mining technology [J]. Modern Electronic Technology, 2018, 41(4):4.
[7]
Jiang Li. Research on information resource sharing of project cost under the background of big data [J]. Theoretical research of urban construction: electronic version, 2016(14).
[8]
Liu Biao. Application of data mining technology in cost management of power transmission and transformation projects [J]. Management and Technology of SMEs, 2020(33):2.
[9]
Fan Wenguang. Construction cost prediction model based on data mining [J]. Modern Electronic Technology, 2018, 41(7):4.
[10]
Guan Zhong. Discussion on the countermeasures of project cost management under the background of big data [J]. building technique development, 2019, 46(5):2.
[11]
Zhao Wenying. Research on the sharing mode of engineering cost information resources based on big data [J]. Computer age, 2018(12):3.
[12]
Wangxin. Construction of big data platform for power transmission and transformation project cost and application research of intelligent analysis and control [J]. Electric Power Big Data, 2018, 21(11):7.
[13]
Sha Xiaohong. Research on construction cost management based on BIM technology [J]. Building materials and decoration, 2018(24):2.
[14]
Tang Jiejin. Talking about the project cost management under big data [J]. Global market, 2016(36):1.
[15]
Chen Yu Bo. Research on data mining of engineering cost under the background of big data [J]. Market Weekly Theory Edition, 2020(84):1.
Recommendations
Data Mining Technology in Book Copyright Information Management Decision System
Today is an era of data “big bang”; Internet information technology is widely used in various fields of society. As an indispensable spiritual food in people’s daily life, books are increasing in number and scale. In order to better manage book ...
Decision analysis of data mining project based on Bayesian risk
Data mining, an efficient method of business intelligence, is a process to extract knowledge from large scale data. As the augment of the size of enterprise and the data, data mining as a way to make use of the data become more and more necessary. But ...
An information theoretic framework for data mining
KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data miningWe formalize the data mining process as a process of information exchange, defined by the following key components. The data miner's state of mind is modeled as a probability distribution, called the background distribution, which represents the ...
Comments
Information & Contributors
Information
Published In
April 2022
1065 pages
ISBN:9781450395786
DOI:10.1145/3544109
Copyright © 2022 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 July 2022
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
IPEC2022
IPEC2022: 2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers
April 14 - 16, 2022
Dalian, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 35Total Downloads
- Downloads (Last 12 months)6
- Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format