The Price Of Memories
International Journal of Development Research
The Price Of Memories
Received 11st April, 2018 Received in revised form 19th May, 2018 Accepted 26th June, 2018 Published online 30th July, 2018
Copyright © 2018, Yulia Tertytsia and Paul D. Berger. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Digital cameras play a significant role in the dynamics of the camera universe. The goal of this study is to predict the price of a digital camera based on a set of attributes, as well as to identify the attributes/ variables that significantly contribute to its price estimation. We obtained our data set from Perso Telecom Paristech. The dependent variable is Price (US dollars); independent variables include Weight, Model (Maker), Zoom Tele, Zoom Wide, Macro Focus Range, Dimensions, Low Resolution, and Effective Pixels. We used Multiple Regression, Multilayer Perceptron Neural Network, and Decision Tree models for analyzing the data. The study revealed that camera Weight, Maker, and Zoom Tele are the most significant attributes in estimating the price of a digital camera.
