Data Trend Analysis by Assigning Polynomial Function For Given Data Set

Main Article Content

Dhaneesh T

Abstract

This paper aims at explaining the method of creating a polynomial equation out of the given data set which can be used as a representation of the data itself and can be used to run aggregation against itself to find the results. This approach uses least-squares technique to construct a model of data and fit to a polynomial. Differential calculus technique is used on this equation to generate the aggregated results that represents the original data set.

Article Details

How to Cite
[1]
Dhaneesh T, “Data Trend Analysis by Assigning Polynomial Function For Given Data Set”, Int. J. Comput. Eng. Res. Trends, vol. 3, no. 4, pp. 162–164, Apr. 2016.
Section
Research Articles

References

Haijun Chen, “A SPECIAL LEAST SQUARES METHOD FOR CURVE FITTING”, Measurement and Control Group, Dept. Electrical Engineering, Eindhoven University of Technology, Postbus 513, 5600 MB Eindhoven, The Netherlands.

Aimin Yang, “The Research on Parallel Least Squares Curve Fitting Algorithm” College of Science Hebei Polytechnic University Tangshan, Hebei Province, 063009 China.

Junyeong Yang and Hyeran Byun “Curve Fitting Algorithm Using Iterative Error Minimization for Sketch Beautification”, Dept. of Computer Science, Yonsei University, Seoul, Korea, 120-749

G. Taubin, “An improved algorithm for algebraic curve and surface fitting”, Proc. Fourth 658-665, Berlin, Germany.