Transcription of Modeling House Price Prediction using Regression Analysis ...
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Modeling House Price Prediction using Regression Analysis ...
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 10, 2017 323 | P a g e Modeling House Price Prediction using Regression Analysis and particle swarm Optimization Case Study: Malang, East Java, IndonesiaAdyan Nur Alfiyatin Faculty of Computer Science Brawijaya University, Malang, Indonesia Ruth Ema Febrita Faculty of Computer Science Brawijaya University, Malang, Indonesia Hilman Taufiq Faculty of Computer Science Brawijaya University, Malang, Indonesia Wayan Firdaus Mahmudy Faculty of Computer Science Brawijaya University, Malang, Indonesia Abstract House prices increase every year, so there is a need for a system to predict House prices in the future. House Price Prediction can help the developer determine the selling Price of a House and can help the customer to arrange the right time to purchase a House . There are three factors that influence the Price of a House which include physical conditions, concept and location.
B. Particle Swarm Optimization (PSO) PSO is a stochastic optimization method that represents solutions as particle [21]. Amount number of particles are generated randomly, where each particle consists of some dimensions of xi position and velocity vi. Each particle will measure its fitness value which shown in (3).
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