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- Vol. 5 Issue 5
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Car Price Prediction Using Enhanced Technique
Authors
1234 B.Tech, Department of Information Technology, CMR Engineering College (UGC Autonomous), Hyderabad, Telangana, India. 5 Professor, Department of Information Technology, CMR Engineering College (UGC Autonomous), Hyderabad, Telangana, India.
Article Information
- Published In
- Volume 5, Issue 5 (2024)
- Published Online
- September-October 2024
- Pages
- 05-08
- Article Type
- Research Article
References
1. Liu, Y., Zeng, J. and Wang, C. (2009). Temperature Monitoring in Laser Assisted Polymer Bonding for MEMS Packaging Using a
thin Film Sensor Array , IEEE Sensors Applications Symposium, New Orleans, LA , USA.
2. De Prez, M. Used car market to soften in second-half of 2022. General News, 31 May (2022).
3. Mammadov, H. (2021). Car Price Prediction in the USA by using Liner Regression. International Journal of Economic Behavior
(IJEB), 11(1), 99-108.
4. Khan,(2021) Muhammad Nasir, Hasnain Kashif, and Abdul Rafay. "Performance and optimization of hybrid FSO/RF communication
system in varying weather." Photonic Network Communications vol. 41, no. 1, pp. 47- 56.
5. B. Cui, Z. Ye, H. Zhao, Z. Renqing, L. Meng, and Y. Yang, “Used Car Price Prediction Based on the Iterative Framework of XG
Boost+Light GBM,” Electronics (Basel), vol. 11, no. 18, p. 2932, Sep. 2022, doi: 10.3390/electronics11182932.
6. Das Mou, P. Kumar Saha, S. Akter Nisher and A. Saha, "A Comprehensive Study of Machine Learning algorithms for Predicting
Car Purchase Based on Customers Demands," in 2021 International Conference on Information and Communication Technology
for Sustainable Development (ICICT4SD), Dhaka, (2021).
7. K.Samruddhi, Dr. R.Ashok Kumar(2020) “Used Car Price Prediction using K-Nearest Neighbor Based Model” IJIRASE Volume
Issue 3, DOI: 10.29027/IJIRASE.v4.i3.2020.686-689, September 2020
8. F. Zhang, J. Yang, Y. Guo and H. Gu, "Multi-source Heterogeneous and XBOOST Vehicle Sales Forecasting Model," in SPIOT 2020:
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020
9. Statistics. Vehicle Center Croatia. Centar za vozila Hrvatske—Statistika, 2022. Available online: https://cvh.hr/gradani/tehnickipregled/statistika/ (accessed on 30 May 2022).
10. W. Yu et al.,(2021) “Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network,” complexity,
vol. 2021, pp. 1–17, Jan. 2021, doi: 10.1155/2021/6616121.
thin Film Sensor Array , IEEE Sensors Applications Symposium, New Orleans, LA , USA.
2. De Prez, M. Used car market to soften in second-half of 2022. General News, 31 May (2022).
3. Mammadov, H. (2021). Car Price Prediction in the USA by using Liner Regression. International Journal of Economic Behavior
(IJEB), 11(1), 99-108.
4. Khan,(2021) Muhammad Nasir, Hasnain Kashif, and Abdul Rafay. "Performance and optimization of hybrid FSO/RF communication
system in varying weather." Photonic Network Communications vol. 41, no. 1, pp. 47- 56.
5. B. Cui, Z. Ye, H. Zhao, Z. Renqing, L. Meng, and Y. Yang, “Used Car Price Prediction Based on the Iterative Framework of XG
Boost+Light GBM,” Electronics (Basel), vol. 11, no. 18, p. 2932, Sep. 2022, doi: 10.3390/electronics11182932.
6. Das Mou, P. Kumar Saha, S. Akter Nisher and A. Saha, "A Comprehensive Study of Machine Learning algorithms for Predicting
Car Purchase Based on Customers Demands," in 2021 International Conference on Information and Communication Technology
for Sustainable Development (ICICT4SD), Dhaka, (2021).
7. K.Samruddhi, Dr. R.Ashok Kumar(2020) “Used Car Price Prediction using K-Nearest Neighbor Based Model” IJIRASE Volume
Issue 3, DOI: 10.29027/IJIRASE.v4.i3.2020.686-689, September 2020
8. F. Zhang, J. Yang, Y. Guo and H. Gu, "Multi-source Heterogeneous and XBOOST Vehicle Sales Forecasting Model," in SPIOT 2020:
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020
9. Statistics. Vehicle Center Croatia. Centar za vozila Hrvatske—Statistika, 2022. Available online: https://cvh.hr/gradani/tehnickipregled/statistika/ (accessed on 30 May 2022).
10. W. Yu et al.,(2021) “Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network,” complexity,
vol. 2021, pp. 1–17, Jan. 2021, doi: 10.1155/2021/6616121.
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