Prediction of Mobile Phone Prices using Machine Learning-Reference-Cited by-同舟云学术

Prediction of Mobile Phone Prices using Machine Learning

Published:2024-05-24 Issue: Volume:537 Page:6-10
ISSN:
Container-title:2024 9th International Conference on Machine Learning Technologies (ICMLT)
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Author:

Bhatnagar Parth¹^ORCID,Lokesh Gururaj Harinahalli¹^ORCID,Shreyas J¹^ORCID,Flammini Francesco²^ORCID,Panwar Disha³^ORCID,Shree Shadeeksha¹^ORCID

Affiliation:

1. Department of Information Technology, Manipal Institute of Technology Bengaluru,Manipal Academy of Higher Education, India

2. School of Innovation,Design and Engineering, Malardalen University, Sweden

3. Department of Computer Science, Manipal Institute of Technology Bengaluru,Manipal Academy of Higher Education, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674029.3674031

Reference10 articles.

1. Subhiksha, S., Thota, S. and Sangeetha, J., 2020. Prediction of phone prices using machine learning techniques. In Data Engineering and Communication Technology: Proceedings of 3rd ICDECT-2K19 (pp. 781-789). Springer Singapore.

2. Jose, J., Raj, V., Seaban, S.V. and Jose, D.V., 2023, February. Machine Learning Algorithms for Prediction of Mobile Phone Prices. In International Conference On Innovative Computing And Communication (pp. 81-89). Singapore: Springer Nature Singapore.

3. Çetın M. and Koç Y. 2021 October. Mobile Phone Price Class Prediction Using Different Classification Algorithms with Feature Selection and Parameter Optimization. In 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 483-487). IEEE.

4. Sakib, A.H., Shakir, A.K., Sutradhar, S., Saleh, M.A., Akram, W. and Biplop, K.B.M.B., 2022, January. A hybrid model for predicting Mobile Price Range using machine learning techniques. In 2022 The 8th International Conference on Computing and Data Engineering (pp. 86-91).

5. Dheeraj, M., Pathak, M., Anil, G.R. and Yoosuf, M.S., 2022, December. Television Price Prediction Based on Features with Machine Learning. In International Conference on Intelligent Systems and Machine Learning (pp. 507-517). Cham: Springer Nature Switzerland.