Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

An Improved Pricing of Taking Photos and Making Money Model Based on SVM and Clustering

Authors
Yujie Ren
Corresponding Author
Yujie Ren
Available Online May 2018.
DOI
10.2991/ncce-18.2018.85How to use a DOI?
Keywords
support vector; machine model; identification packing clustering
Abstract

The aim of this study is to improve the imbalance pricing problems of Self-service package platform based on mobile Internet. The primary emphasis in this paper is on improving the completion of the to-do task. Based on the pricing established by factor analysis and regression equation, the author adopts the idea of packing and clustering. An improved support vector machine and model identification are applied to optimize the fitting function of pricing. Experiments show that the new pricing model greatly improves the mission completion degree and reduces the operation cost of the enterprise. Such an improved pricing model has a good practical guiding significance.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
978-94-6252-517-7
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.85How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yujie Ren
PY  - 2018/05
DA  - 2018/05
TI  - An Improved Pricing of Taking Photos and Making Money Model Based on SVM and Clustering
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 535
EP  - 539
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.85
DO  - 10.2991/ncce-18.2018.85
ID  - Ren2018/05
ER  -