Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 44, Pages: 1-8
Kartik Sharma* , A. Sai Sabitha and Abhay Bansal
Department Computer Science and Engineering, Amity University, Noida - 201313, Uttar Pradesh, India; kartiksh[email protected], [email protected], [email protected]
*Author for correspondence
Department Computer Science and Engineering, Amity University, Noida - 201313, Uttar Pradesh, India; [email protected]
The need for automobile is growing day by day and researches have been carried out in different fields of automobile industry like design, manufacturing, sales, production etc. In the field of engine design, it is required to take into consideration all the parameters affecting the design and performance of it. There are many parameters that plays vital role in engine design and there is need to determine the measures for improving the engine’s performance. The data mining technique can be used to determine these performance measures. The experimental study is conducted using multi-linear regression for various dependent and independent variables using a data mining tool. Principal Component Analysis (PCA) is used to emphasis the selection of attributes and to identify the patterns in automobile dataset.
Keywords: Automobiles, Data Mining, Linear Regression, Multi-Linear Regression, Prediction Techniques
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