Task re-pricing model based on density-based spatial clustering of applications-Reference-Cited by-同舟云学术

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Task re-pricing model based on density-based spatial clustering of applications

Published:2020-11 Issue: Volume:96 Page:106608
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Liu Chang^ORCID,Cao Yang

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Software

Reference19 articles.

1. Mobile crowdsourcing for intelligent transportation systems: Real-time navigation in urban areas;Wan;IEEE Access,2020

2. Multi-model analysis task pricing rule model;Duan;Technol. Promot.,2018

3. Task pricing rule model based on multivariate nonlinear fitting;Jin;Technol. Promot.,2018

4. Elitism bee colony algorithm and crowdsourcing pricing model based on stakeholders’ preferences;Pu;Appl. Res. Comput.,2018

5. Crowdsourcing logistics pricing optimization model based on DBSCAN clustering algorithm;Li;IEEE Access,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An adaptive differential evolution algorithm with DBSCAN for the integrated slab allocation problem in steel industry;Applied Soft Computing;2023-10

2. Dynamic portfolio optimization with inverse covariance clustering;Expert Systems with Applications;2023-03

3. A Systematic Literature Review on Pricing Strategies in the Sharing Economy;Sustainability;2021-08-31

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